Job Board

Woven Planet is building the safest mobility in the world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all.

For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today. Now, we are looking to the next 100 years and to extending that dream for a better life for all people. At Woven Planet we strive to build a safer, happier, more sustainable world.

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. The complementary strengths enable us to optimize safety, advance clean energy, elevate well-being, and improve how people live, work, and play. We envision a human-centered future where world-class technology solutions expand global access to mobility, amplify the capabilities of drivers, and empower humanity to thrive.

About the Organization

Woven Planet is developing automated driving technology using a data-driven approach. We’re building products at autonomy levels 2-4 to drive both near- and long-term improvements to mobility for all. Woven Planet has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and a built in path to product and revenue—a combination rarely seen in the mobility industry. We’re looking for doers and creative problem solvers with a passion for improving lives.

Each member of our diverse and talented group of software and hardware engineers has the opportunity to make a meaningful impact on our technology and products. Our growing team works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in Silicon Valley, and explores the industry’s most compelling research problems at our office in London. With support from our Woven Planet colleagues in Tokyo, our work to improve the future of mobility spans the globe.

About the Team

At Woven Planet L5, we work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision.

The team is looking for an experienced software engineer to join us in developing a state-of-the-art perception system for autonomous driving. As a Perception software engineer you will be working together with machine learning research scientists and fellow engineers on designing, developing and deploying the online perception stack for our next-generation autonomous driving platform and ultimately for Toyota production vehicles. We recognize the unique capabilities each team member brings, and encourage applicants to reach out even if they do not match all of the characteristics described below.

Responsibilities:

Work in an agile and high-velocity team of engineers and researchers.
Team player and “get things done” mentality
Open for daily new and exciting challenges.
Design, develop, and deploy the perception stack on our next-generation autonomous driving platform.
Collaborate closely with stakeholders in downstream customer teams to define interfaces and requirements for the Perception stack.
Work on runtime optimization and building a highly performant perception stack to allow for fast and efficient data flow between perception stages.
Design and develop tools for runtime and data introspection to accelerate engineer development speed.
Closely collaborate with perception subteams to drive unified solutions.

Experience:

MS, or higher degree, in CS/CE/EE, or equivalent in industry experience.
Strong programming skills in modern C++.
Passionate about self driving car technology and its potential for humanity.
Strong computer science fundamentals in algorithm design, data structures and object oriented design.
Experience in writing production level code in a real-time operating system.
Strong knowledge in debugging algorithms and software stacks.

(Nice to Have) Hands-on experience with building a perception stack for autonomous systems.
(Nice to Have) Experience in runtime optimization for runtime-critical systems on linux and unix-like real-time operating systems.
(Nice to Have) Experience with CUDA or OpenCL
(Nice to Have) Experience with automotive grade compute platforms
(Nice to Have) Experience in the automotive industry and familiarity with functional safety, ISO 26262 and ISO 21448.
(Nice to Have) Experience with building safety-critical software architectures.

OUR COMMITMENT
・We are an equal opportunity employer and value diversity.
・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.

The Company

At Hop Labs, our mission is simple: we build technology that meaningfully impacts people’s lives.

We work on a variety of projects in a range of industries, from fighting cancer through deep learning, to training a computer to help you find the best-fitting pair of pants. We've helped large, established companies nurture innovative ideas, and we’ve collaborated with cutting-edge startups to be the large, established companies of tomorrow.

The Team

Our team reflects our belief in quality over quantity. Some of our past projects have resulted in publications and patents, have been featured in the press, and have been deployed with well-known brands. We do few things, but we do them extremely well:

Machine Learning -- Deep Learning / AI
Computer Vision
Product Strategy and Product Roadmap
MVP Development

We're a small team focused on making an outsized impact. We embrace diversity, investing in our people, and flexible work schedules. Our team is fully remote, with an emphasis on staying connected and learning from each other.

At Hop Labs, we aim to enjoy our work and deliver beyond expectations. If you’re a technologist who wants to work on projects that make a difference, we want to hear from you.

The Role

We’re looking to hire a Computer Vision Research Engineer on an independent contractor or employee basis. Titles can be arbitrary, so you should consider yourself a good fit for this if:

• You have experience with computer vision and an interest in developing your skills there.
• You enjoy solving research-grade problems at scale, for real business impact.
• You’re comfortable proposing end-to-end technical architectures that balance modularity, scalability, operations, security, and cost.
• You understand that clarity and simplicity -- in code and in communication -- are worth striving for.

As a distributed team, some key qualities are particularly important for all of us at Hop Labs:

• A strong sense of ownership and initiative
• Clear and consistent communication
• A collaborative mindset
• Clear thinking and attention to detail for complex projects
• Comfort with operating independently as well as part of a small, targeted team

For this role specifically:

• Open to all backgrounds, though computer vision background strongly preferred
• Intermediate to senior level
• Location: remote within the U.S.

If this role sounds like a good fit for you, please reach out! We’ve made an effort to create a hiring process that is low-pressure, skills-focused, and compatible with the other commitments in your life.

Woven Planet is building the safest mobility in the world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all.

For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today. Now, we are looking to the next 100 years and to extending that dream for a better life for all people. At Woven Planet we strive to build a safer, happier, more sustainable world.

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. The complementary strengths enable us to optimize safety, advance clean energy, elevate well-being, and improve how people live, work, and play. We envision a human-centered future where world-class technology solutions expand global access to mobility, amplify the capabilities of drivers, and empower humanity to thrive.

About the Organization

Woven Planet is developing automated driving technology using a data-driven approach. We’re building products at autonomy levels 2-4 to drive both near- and long-term improvements to mobility for all. Woven Planet has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and a built in path to product and revenue—a combination rarely seen in the mobility industry. We’re looking for doers and creative problem solvers with a passion for improving lives.

Each member of our diverse and talented group of software and hardware engineers has the opportunity to make a meaningful impact on our technology and products. Our growing team works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in Silicon Valley, and explores the industry’s most compelling research problems at our office in London. With support from our Woven Planet colleagues in Tokyo, our work to improve the future of mobility spans the globe.

You will be interacting on a daily basis with software engineers, machine learning specialists, and researchers to tackle some of the most challenging problems in AI and robotics. We work on a diverse set of problems ranging from solving motion planning problems in challenging traffic situations, to minimizing the latency on hardware accelerators, to designing novel neural network architectures.

The team is looking for a motion planning expert to drive the deployment of the next generation of planning systems for Autonomous driving. As an expert in motion planning, you will be working with machine learning research scientists and engineers on designing, developing, and deploying the planning stack that combines the latest findings in deep learning, reinforcement learning, imitation learning, motion planning, and robotics. We recognize the unique capabilities each team member can bring, though, and encourage applicants to reach out even if they do not match all of the characteristics described below.

Responsibilities:

Work in a small, high-velocity team of engineers and researchers.
Design, develop, and deploy the motion planning architecture on our next-generation autonomous driving platform.
Develop state-of-the-art algorithms and software for the motion planning module to deliver desired driving behaviors in various driving scenarios.
Develop active safety features to ensure safe driving in different environments.
Build metrics to measure, validate, and improve performance through testing in simulation and on roads.
Collaborate closely with teams such as Perception, Simulation, Infrastructure, Tooling to drive unified solutions.
Experience:

Advanced degree (MS or Ph.D.) in CS, Robotics, Controls (or other related fields), or other quantitative fields or relevant work experience.
Strong knowledge of C++ and extensive experience in software development.
Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, model predictive control, etc or self-driving problems (Perception, Prediction, Mapping, Localization, Planning, Simulation).
Strong mathematical and geometrical knowledge and skills
(Nice to Have) Experience in the automotive industry and familiarity with functional safety, ISO 26262 and ISO 21448.
(Nice to Have) Hands-on experience with building a planning stack for autonomous robots.
(Nice to Have) Experience with building safety-critical software architectures.

OUR COMMITMENT
・We are an equal opportunity employer and value diversity.
・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.

Woven Planet is building the safest mobility in the world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all.

For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today. Now, we are looking to the next 100 years and to extending that dream for a better life for all people. At Woven Planet we strive to build a safer, happier, more sustainable world.

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. The complementary strengths enable us to optimize safety, advance clean energy, elevate well-being, and improve how people live, work, and play. We envision a human-centered future where world-class technology solutions expand global access to mobility, amplify the capabilities of drivers, and empower humanity to thrive.

About the Organization

Woven Planet is developing automated driving technology using a data-driven approach. We’re building products at autonomy levels 2-4 to drive both near- and long-term improvements to mobility for all. Woven Planet has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and a built in path to product and revenue—a combination rarely seen in the mobility industry. We’re looking for doers and creative problem solvers with a passion for improving lives.

Each member of our diverse and talented group of software and hardware engineers has the opportunity to make a meaningful impact on our technology and products. Our growing team works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in Silicon Valley, and explores the industry’s most compelling research problems at our office in London. With support from our Woven Planet colleagues in Tokyo, our work to improve the future of mobility spans the globe.

In London, our team is accelerating autonomous driving by exploring novel CV/ML solutions utilising one of the largest datasets in the industry: petabytes of data collected from our fourth generation autonomous vehicle platform driving in the Bay Area and an active data collection program in San Francisco using our fleet of second generation capture devices. This dataset enables us to tackle some of the hardest problems in self-driving with ML: from building accurate and up-to-date 3D maps, to understanding human driving patterns, to increasing the sophistication of our simulation tests by having access to rare real-world driving situations. By leveraging this data, Level 5 is uniquely positioned to develop safe, efficient, and intuitive self-driving systems.

We’re working together with the wider research community on these problems by publishing the largest Perception and Prediction open datasets in the industry. Our open source L5kit software enables engineers and researchers to experiment with data-driven approaches to planning and simulation problems using real world driving data and contribute to state-of-the-art solutions.

Requirements
The ability to independently implement research in production using either Python or C++
Experience with a deep learning framework (TensorFlow, PyTorch, …)
Msc/Phd with a proven track record of 1st author publications at top tier conferences
Interest in developing algorithms and research ideas and driving them to deployment

Other Beneficial Qualities (Not Required)
Background in any of the following:
Computer vision
NLP
Deep learning
Robotics
Optimal control & reinforcement learning
Imitation learning
Uncertainty estimation

OUR COMMITMENT
・We are an equal opportunity employer and value diversity.
・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.

Job Description

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA preferred.
Responsibilities
Job Description

We offer unique opportunities for smart, hands-on scientists with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications.The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges.

This role is available on the OCI AI Vision Services. We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building cloud services in computer vision (CV) and natural language processing (NLP) that work out of the box for enterprises. Our product vision includes ability for enterprises to be able to customize the services for their business and train them to specialize on their data by creating custom models that enhance the AI models for customer user cases.

What You’ll Do

Design and build the world-class ML/Deep learning models for Vision/NLP.
Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization.
Evaluate and Implement the ML/Deep learning models from research papers and other public internet resources.
Develop production code for feature processing, model prediction, serving, and monitoring in both real-time and batch scenarios.
Participate in the entire software lifecycle – development, testing, CI and production operations
Balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events
Participate in on-call for the service with the team

Qualifications

PhD or Master’s in Computer Science, Mathematics, Statistics, Physics or a related field with a dissertation centered in Machine Learning Techniques
10+ years w/Masters or 7+ years w/PhD of applying machine learning for solving real-world problems in industry
Proficiency in Python or C++
Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production
Experience applying statistical models and developing Machine Learning solutions (regression, classification, clustering)
Extensive experience with developing and serving large scale Deep learning models across different data domains.
Experience in optimization and scaling of ML solutions for real world business use cases.
Expertise in datamining and statistical concepts and experience with traditional ML libraries such as scikit-learn, statsmodels and pandas
Past delivery of large-scale ML solutions for complex business problems
Prior experience working on distributed systems
Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise
Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders
Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems.

Provide leadership and expertise in the development of new products/services/processes, frequently operating at the leading edge of technology. Recommends and justifies major changes to existing products/services/processes. BS or MS degree or equivalent experience relevant to functional area. 8 or more years of software engineering or related experience.

If you are a Colorado resident, Please Contact us or Email us at oracle-salary-inquiries_us@oracle.com to receive compensation and benefits information for this role. Please include this Job ID: in the subject line of the email.

About Us
Diversity and Inclusion:

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

Posting Description for External Candidates Enter Custom External Posting Description Short Description for External Candidates
Looking for the applied scientist who is interested in addressing exciting challenges at the intersection of AI and cutting-edge cloud infrastructure.

Description for External Candidates

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA preferred.

Responsibilities for External Candidates
The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges.

We offer unique opportunities for smart, hands-on scientists with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications.

This role is available on the OCI AI Vision Services. We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building cloud services in computer vision (CV) and natural language processing (NLP) that work out of the box for enterprises. Our product vision includes ability for enterprises to be able to customize the services for their business and train them to specialize on their data by creating custom models that enhance the AI models for customer user cases.

What You’ll Do

Design and build the world-class ML/Deep learning models for Vision/NLP.
Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization.
Evaluate and Implement the ML/Deep learning models from research papers and other public internet resources.
Develop production code for feature processing, model prediction, serving, and monitoring in both real-time and batch scenarios.
Participate in the entire software lifecycle – development, testing, CI and production operations
Balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events
Participate in on-call for the service with the team

Qualifications

PhD or Master’s in Computer Science, Mathematics, Statistics, Physics or a related field with a dissertation centered in Machine Learning Techniques
10+ years w/Masters or 7+ years w/PhD of applying machine learning for solving real-world problems in industry
Proficiency in Python or C++
Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production
Experience applying statistical models and developing Machine Learning solutions (regression, classification, clustering)
Extensive experience with developing and serving large scale Deep learning models across different data domains.
Experience in optimization and scaling of ML solutions for real world business use cases.
Expertise in datamining and statistical concepts and experience with traditional ML libraries such as scikit-learn, statsmodels and pandas
Past delivery of large-scale ML solutions for complex business problems
Prior experience working on distributed systems
Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise
Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders
Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems.

Provide leadership and expertise in the development of new products/services/processes, frequently operating at the leading edge of technology. Recommends and justifies major changes to existing products/services/processes. BS or MS degree or equivalent experience relevant to functional area. 8 or more years of software engineering or related experience.

If you are a Colorado resident, Please Contact us or Email us at oracle-salary-inquiries_us@oracle.com to receive compensation and benefits information for this role. Please include this Job ID: in the subject line of the email.

About Us

Diversity and Inclusion:

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

Email of Internal Contact

About Us
Diversity and Inclusion:

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

We are seeking an exceptional Machine Learning Engineer to join our Computer Vision team and participate with contributions to algorithms and supporting software development and infrastructure. We deploy to multiple platforms including embedded hardware (cameras, servers) and cloud infrastructure. In this role, you will work with our talented team of research scientists and software engineers on turning modern AI technologies into commercial products that delight our customers.

Responsibilities include:

Design, implement, evaluate and maintain Computer Vision and Machine Learning algorithms, including object detection and tracking.

Write C++ code for real-time embedded Linux devices, servers and the cloud.

Design, develop, test, deploy, maintain infrastructure for training and evaluating Deep Learning models.

Review code of peers for adherence to coding standards and design guidelines.

Write documentation and present results of numerical experiments and evaluations to engineering teams.

Desired Skills:

Hands-on experience in designing and implementing Computer Vision and Machine Learning algorithms.

Solid foundation in Mathematics.

Knowledge of image and video processing; object detection, classification and tracking.

Experienced developing software harnesses for unit and regression tests.

Familiarity with OpenCV and Common Python Libraries (e.g. scikit-learn, numpy, scipy, matplotlib, pandas etc.)

Activity in the Open Source community (e.g. github account as reference)

Strong analytical and problem solving skills.

Solid software design and development skills; ability to write production quality code.

Experience with Object Oriented design, software design pattern, data structures and algorithms.

Familiarity with basic linear algebra and statistics.

Dependable written and oral communication skills

Basic Requirements
Bachelors or Master's degree in Computer Science, Computer Engineering, Electrical Engineering or a relevant field

Experience in C++ and Python; familiarity with Linux

Job environment
The post-doctorate will be based in the Brest campus of IMT Atlantique joining team RAMBO of CNRS Lab-STICC, UMR 6285 and will be cosupervised by Ass. Prof Panagiotis Papadakis (team coleader) and Prof. Guillaume Moreau of team INUIT. The research fields of RAMBO team encompass cognitive robotics, robot learning, ambient assisted living and human-robot interaction while the group possesses state-of-the-art research facilities and equipment, notably a LivingLab in eHealth as well as diverse service/field robots and manipulators.

This position is offered in the context of the project LEASARD - Low-Energy deep neural networks for Autonomous Search-And-Rescue Drones – financed by CominLabs and is a collaborative project between research teams 2AI, RAMBO and INUIT of Lab-STICC in Brest, LS2N / Armen in Nantes and IRL Crossing in Australia. The purpose of the project is to develop optimized deep neural networks for vision and control of drones, by capitalizing on recent advances on event-cameras coupled with color cameras and dedicated FPGA hardware for embedded processing.

Job description
The postdoctoral researcher will undertake research in the field of deep-learning for vision and control of an aerial drone destined to operated in urban search and rescue (USAR) missions.

Of particular interest will be the development of deep neural networks using event-camera images alongside conventional color images so as to favor network sparsity and complementarity when implemented on dedicated FPGAs capable of on-demand reprogramming. The goal thus consists in advancing the state-of-the-art in terms of efficiency of deep neural networks used during the drone mission for vision and control, so as to increase the operational autonomy while moderating the impact in the overall efficacy. To this end, the paradigms of either end-to-end (mapless) or conventional SLAM-based navigation can be investigated depending on expected benefits and the scenario constraints. The development of algorithms will be initially sought via simulation tools and environments for drone navigation and progressively transferred to the real sensors and hardware.

The postdoctoral researcher will work in close collaboration with project partners. Upon joint agreement, the 1st year of postdoc can be concatenated with an additional 1-year postdoc at the LS2N/Armen team in Nantes, under the co-supervision of Dr. Isabelle Fantoni. The project provides necessary funding to cover publication, mobility and working environment expenses.

Candidature procedure
Full details on the position and the candidature procedure are available in the link below "More info"

The Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR) in Singapore was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world's top academics and academic institutions.

We are looking for highly motivated individuals who can work independently and yet are good team players, possess excellent analytical, technical, and problem-solving skills, good technical writing, and presentation skills. If you share our interests in solving challenging scientific problems, we welcome you to apply for the following position.

Job Description:

Requirement:

Please apply here! https://boards.greenhouse.io/magicleapinc/jobs/3262571

Job Description

Hand tracking is a critical feature that enables people to use their hand as input to interact with our environment on Magic Leap devices. We have an exciting opportunity on our Perception team to work on the next generation and world leading hand tracking system.

We are looking for individuals with exceptional development/research skills in the field of Computer Vision, Machine Learning and Deep Learning. In the hand tracking team, you will be faced with an exciting array of opportunities and a number of challenges. The problems we try to tackle include, but are not limited to, 3D hand reconstruction, 2D/3D hand key-point estimation and meshing, self-supervised 3D hand pose estimation, neural rendering, and gesture recognition. The primary responsibility of the role is to contribute to the research and development of multiple core components for hand pose/shape estimation and gesture recognition. The candidate’s responsibilities extend to working closely with the executive team to establish the scope and schedule of the product critical projects, drive the formation of technical teams and ensure a cohesive alignment of all essential technical expertises by setting optimal communication strategies. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, effective leaders and adept at operating in a highly dynamic environment. We look for colleagues that are passionate about our product and embody our values.

Responsibilities

Contribute to the research and development effort of advanced, product-critical computer vision components such as hand tracking and gesture recognition
Actively contribute to Magic Leap Intellectual Property and publish research findings in peer-reviewed conferences
Work hand-in-hand with the key stakeholders and developers across the company using computer vision components
Support overall research engineering and architecture efforts of computer vision and machine learning components
Write maintainable, reusable code, leveraging test driven principles to develop high quality geometric vision and machine learning modules
Troubleshoot and resolve software defects and other technical issues
Act as a mentor and subject matter expert within the computer vision group and with other key stakeholders
Review individual developer's code in the team to ensure highest code quality in Computer Vision and Deep Learning components

Qualifications

5+ years of working experience in Computer Vision targeted to product development.
Experience/specialization in at least one of the following domains:
-Sensor Calibration: Design and implement algorithms for online and offline intrinsic and extrinsic calibration of complex devices composed of several sensors, cameras, IMUs, depth sensors, and imagers. Collaborate with other engineers on the design and deployment of fully automatic robotics-aided calibration processes targeted for factory production.
-2D/3D Pose Estimation and Tracking: Research, architect and hands-on experience on the hand or body pose estimation and tracking.
-Hand Meshing and Hand Reconstruction: Be familiar with the standard parameterized 3D hand or body shape model.
-Computer vision algorithms on device: Research, architect, and implement high-performance computer vision software on device with state-of-the-art capabilities.
Strong knowledge of Python programming
Sound knowledge of C/C++ (programming and debugging)
Experience in Deep Learning with knowledge of at least one of PyTorch or TensorFlow
Experience working with OpenCV
Knowledge of parallel computing, OpenCL, CUDA, GPGPU is a plus
Knowledge of software optimization and embedded programming is a plus

Education

MS in Computer Science or Electrical Engineering (with a minimum of 5 years of relevant experience)
Ph.D. is preferred (with a minimum of 2 years of relevant experience)

Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines

Please apply here! https://boards.greenhouse.io/magicleapinc/jobs/3262571

Job Description
An opportunity has arisen for a Sr. Scientist postion for the Data Science and Informatics group in the Pharmaceutical Sciences Organization. The role will be essential in ensuring our organizations realization of our digital transformation, and to provide centralized support and data science expertise to teams across the Pharmacuetical Sciences organiztion of Merck Research Labs. Our projects focus on key development and application of machine learning (ML) to multiple teams: bleeding edge research and experimentation, common tool and platform development, and establishing best practices to ensure the scientific community at MRL is well-positioned to rapidly meet the challenges of modern R&D, and make an impact on an entire scientific culture at Merck.
As our project scope is vast, we incubate a number of ML and AI projects, as well as collaborating on larger projects across MRL, in many areas including advanced predictive modelling, computer vision, signal processing, probabilistic reasoning, and more. Our group excels in the ‘how’ of data science – how to write repeatable code, how to train a model continuously with uncertainty quantification, and how to package and deploy it into a production system. You will be responsible for setting the scientific strategy for many of these ‘how’s, tactically engaging with key groups of business and IT to determine the mechanics of training and deploying models, and working with our platform teams to build or adopt repeatable tools and packages.
In this role you will work with a diverse group of scientists and engineers to broadly shape and lead how we build, train, interpret, package, investigate, and deploy novel machine learning models and other data science artifacts at MRL. You will apply state of the art data science technology platforms to build and deploy operational solutions that span the scientific, executional, compliance, and operations spaces. Your responsibilities include developing models for equipment, material, modality/formulation, and product and formulation specific analytics. Responsibilities also including automation of analysis, data acquisition, workflow builds and deployment of hands-free methods. To enable ML and AI, you will also lead machine vision for scene understanding and anomaly detection. Solutions for resource optimization, scheduling, and forecasting, maintenance, alarms diagnosis, asset management, and develop models to explore what if scenarios are all in scope of this role.
Reporting into the Pharmaceutical Operations and Clinical Supplies Organization (POCS) the successful candidate will bring energy, knowledge, innovation to carry out the following:
• Develop novel algorithms in statistical and computational ML, including deep learning, at different scales suitable and explainable for problems and data of varying size and quality (e.g., missing data).
• Understand deeply the strength and weakness of both conventional and new ML algorithms from different research communities, and then innovate the methods for rigorously formulated problems
• Lead interactions with the scientific and operations functions (e.g., spectral analysis or supply chain management) to identify, catalogue, develop and characterize ML use cases and value-generating data science opportunities for the respective business areas.
• Evaluate, prioritize, and plan the staged execution of data science projects.
• Independently and in teams build, test, and deploy end to end data science solutions.
• Serve as a subject matter expert on data science, ML, and statistical analysis.
• Build, develop, and grow the data science capabilities for both our data science staff and our functional area scientific staff via training, coaching, and mentoring.
• Help operationalize numerous models across the organization, provide guidance and training to DS and engineers alike
• Set the standard with IT for applied machine learning at MRL.

In order to excel in this role, you will more than likely have:

• A PhD with a minimum of 0-5 years’ experience, 12 years’ (for MSc) or 14 years’ (for BSc) in ML focused academia or industry
• Education and or related experience in statistical and computational ML (Computer Science, Electrical and Computer Engineering, Physics, Chemistry, Material Sciences, Pharmaceutical Sciences).
• Demonstrated experience with the mechanics of training and deploying ML models
• Strong and broad knowledge of ML and statistics, with the ability to deep dive as well as converse at high technical level with architects and senior scientists. Computer Vision and/or other deep learning experience a must.
• Strong coding skills (python and/or R, including pytorch or tensorflow) for good aspects of data engineering, ML, and statistical modeling and analysis
• Experience bridging the gap between domain subject and data science groups, with understanding of priority and business targets.
• Exposure with pharmaceutical formulation development, and characterization is a plus, but not a must.

As a company, we are committed to ‘Inventing for Life’ in all that we do. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world’s most challenging healthcare needs. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together.

If you like a rich set of varied responsibilities, with tremendous exposure and impact within a large organization, this is a role for you! If you are ready to:
Invent solutions to meet unmet healthcare needs, please apply today.

We have a postdoc position available immediately at UC Berkeley / ICSI. We welcome motivated and thoughtful candidates with strong math / debugging / communication skills and publications at major computer vision conferences. Experience in graph theory, deep learning on manifolds, and video understanding would be a plus (but not necessary).

Scholarship: Full payment of university fees and a tax-free stipend of €18,500 per annum for four years. In addition, a budget for conference travel, equipment, training, placement maintenance and publication costs is provided.
Positions: These 30+ positions are being advertised as part of the Science Foundation Ireland-funded Centre for Research Training in Digitally-Enhanced Reality (d-real). Successful applicants will form a cohort-based doctoral programme involving five leading universities in Ireland –Dublin City University, NUI Galway, Trinity College Dublin, Technological University Dublin and University College Dublin
About the programme: Multimodal digital media, across video, text, image, speech and Virtual/Augmented Reality (VR/AR) content, are rapidly reshaping our working and living environments. Seamlessly blending digital media and interaction within the physical world offers disruptive potential to enhance our effectiveness, efficiency and quality of engagement in everyday life. The d-real programme is an innovative, industry partnered, research training programme that equips PhD students with deep ICT knowledge and skills across Digital Platform Technology, Content and Media Technology and their application in Industry sectors. d-real postgraduate students will make research breakthroughs in areas such as multimodal interaction, multimodal digital assistants, multilingual speech processing, real-time multilingual translation and interaction, machine intelligence for video analytics and multimodal personalisation and agency.
Topics: The d-real website (d-real.ie) lists the 30+ available projects, giving details on the supervision team and a brief descriptor of the scope of the PhD position.
Application procedure: Applications are to be made using the Good Grants platform provided on our ‘Apply to d-real’ webpage. You will be asked for personal details, academic track record, a personal statement and to list your top three topic preferences.
Deadline: Rolling deadline, third call closing at 16.00 (Irish time) on Monday 20th June 2022.
Queries: For queries about the programme please contact the programme manager, Stephen.Carroll@tcd.ie. For queries about the projects themselves please contact the primary supervisor of the particular project.

Description

The development of vision-based navigation (VBN) algorithms for space applications often relies on simulated data: synthetic images from specialized software, real images from laboratory test benches or recordings of previous space missions. Applications range from in-orbit rendezvous to Solar system exploration missions. The definition of criteria and metrics for the validation and qualification of image generation methods remains an open issue. The objective of this Ph.D. is to bring a new perspective to this problem based on state-of-the-art knowledge in computer vision and image processing, in order to define guidelines for future missions.
The first task will be to critically review available references and formulate the right questions. Secondly, the core of the Ph.D. project will be to select relevant datasets, experiments and image processing algorithms to develop robust and representative tests and benchmarks. Lastly, the final objective of the project is to formalize a methodology that can serve as a future guideline for the qualification of test means and data sets for a given mission or algorithm.

Advising team

The Ph.D. candidate will join dynamic teams involved in many projects at various phases of development, from research and expertise to industrialization. The advising team will be shared between Airbus Defence & Space (Toulouse, France), ESTEC (ESA, Noordwijk, NL) and IRIT (Toulouse, France).
Airbus and ESA will bring skills, datasets, software, and test facilities in connection with their participation in major ongoing space programs. Notably, the work will be performed in collaboration with the research team REVA of the IRIT (Institut de Recherche en Informatique de Toulouse, UMR CNRS 5505) research laboratory whose members will provide expertise in computer vision and visual data analysis.

Requirements

The advising team is looking for a Ph.D. candidate from one of the ESA member states [1] with an M.Sc or Engineering degree in computer science, applied mathematics or physics and demonstrated experience in computer vision and computer graphics.
The candidate we are seeking must have:

• a background and interest in optics, detection physics, image processing, astronomy or space engineering are desirable.
• strong analytical skills and ability to work at the intersection of different research domains.
• good programming skills, namely in Python, C++ or Matlab, are needed as well as some knowledge of common programming libraries such as OpenCV and OpenGL.
• excellent written and verbal English communication skills and an aptitude for working in an international context are required.

The candidate shall be autonomous to drive his doctoral work among multiple international institutions, and advising teams. A keen interest in space applications will be also appreciated.

Application Documentation

The interested candidate shall send the following documentation to vbn_job@listes-diff.enseeiht.fr before June 14th.

• a CV with a description of relevant experience,
• a motivation letter,
• one or more recommendation letters.

Selection process

Review of applications will begin immediately. As part of the selection, short-listed candidates will be invited for an online interview before the end of June. Please note that only short-listed candidates will be contacted.
Ideally, the position is to start by October 2022.

[1] ESA Member States are: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, The Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland and the United Kingdom. Further to the 22 Member States, also Canada, Latvia and Slovenia, based on their agreements with ESA, qualify to fully participate in the programmes of the ESA Education Office.

The Deep Learning Group at Microsoft Research (MSR), Remond is working on broad topics centered around deep learning. One of the research areas specifically focuses on computer vision (CV) and vision-language multimodality (MM). The mission of this area is to build transferable systems that can effortlessly adapt to a wide range of CV & MM tasks in the wild. Topics of interest include but are not limited to:
• Efficient network architecture design
• Large-scale vision-language pre-training
• Benchmarks to evaluate transferability of foundation models
• Other research topics that the candidates propose and lead.

A few openings are:
• Full-time Jobs: Postdoc, Researcher, Senior Researcher. Lead and drive research projects end-to-end. Candidates with experience in CV & MM, and large-scale model pre-training are preferred.
• Visiting Researcher. A program to facilitate MSR-University collaborations. The candidates could be university faculties or incoming faculties, and are expected to work as an MSR fulltime employee for 3 - 12 months.
• Interns. Both part-time and full-time. Remote internships are allowed. Candidates with strong implementation skills are preferred.

For (Senior) Researcher, please apply at: https://careers.microsoft.com/us/en/job/1165352/Researcher-Deep-Learnin…

For Postdoc Researcher, please apply at: https://careers.microsoft.com/us/en/job/1350879/Post-Doc-Researcher-Dee…

For Visiting Researcher and Interns, you are welcome to contact us for more details:
• Chunyuan Li (chunyl@microsoft.com), https://chunyuan.li
• Jianwei Yang (jianwyan@microsoft.com), https://jwyang.github.io

Cellino Biotech, Inc. is an innovation- and value-driven, venture capital-backed biotechnology company that is pioneering a transformative platform to manufacture cell-based therapies. The company was founded by a team of interdisciplinary, entrepreneurial scientists and engineers with expertise in laser physics, biology, software development, optics, precision instrumentation, and business.

The Role
The ML Engineer will be part of Cellino’s AI Scrum team, which is building production-level ML pipelines and the cloud backend for our cell manufacturing platform. Reporting to the VP of Data and Machine Learning, you will be part of a multi-disciplinary product development lifecycle and will interact with the robotic automation, biology, and data operations teams.

Responsibilities
• Work in an interdisciplinary team of data scientists, software engineers, biologists and automation engineers to build production-level AI engine of Cellino platform
• Follow the ML and computer vision literature and implement state-of-the-art algorithms to build microscopic data understanding capabilities
• Design, develop and maintain Machine Learning pipelines that process petabytes of data from various microscopic and biological assay modalities
• Design, develop and maintain model training, evaluation, dataset annotation and dataset management infrastructure
• Design, develop and maintain unit tests to increase quality of production codebase
• Work closely with scientists to design large scale experiments to productionize ML capabilities

Requirements
• BS in computer science or equivalent
• Strong analytical and problem solving skills
• 2+ years of delivering ML projects for a product
• 3+ years of software development experience in a production environment
• Expertise in working with DL frameworks such as PyTorch, Tensorflow, Caffe
• Excellent programming skills in Python and object-oriented paradigm
• Agile software development experience (comfortable with development management tools such as Jira, Rally)
• Excellent written and verbal communication skills

Nice-to-Have Skills and Background
• MS/PhD in data science, computer vision or equivalent
• Developing microscopic image data processing algorithms with DL architectures such as GAN/CNN
• Experience in building ETL pipelines
• Experience in building image-based DL pipelines
• Experience in building bioinformatics pipelines
• Experience in cloud platforms such as GCP or AWS

Benefits
● Competitive salaries
● Stock options
● 401(k)
● Employer-paid medical, dental, vision, life, and disability insurance
● Flexible Spending Account (FSA) and Health Savings Account (HAS) available
● Flexible work schedule
● Generous paid time off and sick leave + 12 company holidays
● Parental leave
● Professional development assistance

It is the policy of Cellino Biotech, Inc. to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race, religion, creed, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, pregnancy, marital status, age, sexual orientation, and military or veteran status, or any other basis protected by law. It also prohibits unlawful discrimination and harassment based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.

BCAI is looking for a motivated individual to help to define, setup, and execute a federated learning research and implementation roadmap in the scope of a larger project on automated driving.

High level goals include:
- Evaluate the major design decisions required for federated model definition and the corresponding data acquisition strategy for the larger project
- Benchmarking existing federated learning approaches, also against a centralized learning standard
- Evaluate generalization properties of the federated learning algorithms
- Improve the traceability of federated model decisions
- Understand the benefits and limits of active learning in decentralized setting
- Explore solutions for catastrophic forgetting in federated models
- Develop a theoretic foundation in order to understand the convergence properties of federated learning algorithms
- Algorithmic implementation in Azure

Qualifications:
Master studies in the field of Computer Science or comparable with excellent grades, preferably with a specialization / focus on machine learning. Strong team player with affinity for research and a focus to see things working in practice. Experience with deep learning, and preferably some prior work in the field of federated learning, multi-language programming skills (Python, TensorFlow/PyTorch) and preferably experience in collaborative software development and MLOps.

Enrollment at university is a requirement for this position.

The Department of Computer Science at The University of Texas at San Antonio (UTSA) invites applications for at least 7 open-rank Lecturer, Professor of Practice or Professor of Instruction for Fall 2022 in all areas of Computer Science.
Successful candidates are expected to start teaching in late August 2022, for Fall semester.
Review of applications will begin immediately and continue until 05/16/2022. At the discretion of the hiring department, this position posting may close once a sufficient number of qualified applications have been received, or be extended further.
Salary Range: salary will be competitive and commensurate with qualifications and levels of position filled.
Primary duties will be teaching undergraduate computer science courses, four courses/sections per semester (Fall and Spring).
Position Requirements:
Master’s degree in a Computer Science field or a closely related field for Lecturer position;
PhD degree in a Computer Science field or a closely related field, or Professional Experience for Professor of Practice position.
PhD degree in a Computer Science field or a closely related field for Professor of Instruction position.
Two or more years of effective teaching experience at undergraduate level in Computer Science or a closely related field (including teaching assistant experience)
Preference for candidates with industry experiences.
Link to apply for external candidates: https://bit.ly/37a72Pr

EPFL's Computer Vision Laboratory has several openings for post-doctoral fellows in the topics ranging from 3D modeling of people and their clothes to biomedical imaging.

Position:

It is initially offered for 1 year starting as soon as possible and can be extended up to a maximum of 4 years.

The Computer Vision laboratory offers a creative international environment, a possibility to conduct competitive research on a global scale and involvement in teaching if desired. Within the project, there will be ample opportunities to cooperate with some of the best groups in Europe and elsewhere.

EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers away from the city of Geneva. Post-doctoral salaries start at CHF 83600 per year, with yearly increments.

Education:

Applicants are expected to have finished, or be about to finish their Ph.D. degrees, to have a strong background in Computer Science, and to have a track record of publications in top conferences and journals. Familiarity of biomedical image processing and strong programming skills (C or C++) are a plus. French language skills are not required, English is mandatory.

Application:

Applications must be sent by email to Ms. Hjelt (patricia.hjelt@epfl.ch). They must contain a statement of interest, a CV, a list of publications, and the names of three references.

General Summary:

Qualcomm AI Research is looking for world-class researchers in deep learning, to join a high-caliber team of engineers inventing machine learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation.

Members of our team are part of a multi-disciplinary core research group within Qualcomm which spans software, hardware, and systems. Our members may simultaneously contribute to technology deployed worldwide by partnering with our industry-leading businesses across mobile, compute, automotive, cloud, and IOT. Our research team has demonstrated first-in-the-world research and proof-of-concepts in areas such model efficiency, neural video codecs, video semantic segmentation, federated learning, and wireless RF sensing (https://www.qualcomm.com/ai-research), has won major research competitions such as the visual wake word challenge, and converted leading research into best-in-class user-friendly tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet).

Role responsibility can include both, applied and fundamental research in the field of machine learning with development focus in one or many of the following areas:
• Conducts fundamental machine learning research to create new models or new training methods in various technology areas, e.g. deep generative models (VAE, Normalizing-Flow, ARM, etc), Bayesian deep learning, equivariant CNNs, adversarial learning, active learning, Bayesian optimizations, unsupervised learning, and ML combinatorial optimization using tools like graph neural networks, learned message-passing heuristics, and reinforcement learning.
• Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods (model-based, sampling based, back-propagation based) for model compression, quantization, architecture search, and kernel/graph compiler/scheduling with or without systems-hardware co-design.
• Performs advanced platform research to enable new machine learning compute paradigms, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, quantum machine learning, causal and language-based reasoning.
• Creates new machine learning models for advanced use cases that achieve state-of-the-art performance and beyond. The use cases can broadly include computer vision, audio, speech, NLP, image, video, power management, wireless, graphics, and chip design
• Design, develop & test software for machine learning frameworks that optimize models to run efficiently on edge devices. Candidate is expected to have strong interest and deep passion on making leading-edge deep learning algorithms work on mobile/embedded platforms for the benefit of end users.
• Research, design, develop, enhance, and implement different components of machine learning compiler for HW Accelerators.
• Design, implement and train DL/RL algorithms in high-level languages/frameworks (PyTorch and TensorFlow).

Here are some of the Research / Engineering opportunities we are actively hiring in different regions - Your application will be reviewed by multiple hiring teams that are hiring for these positions.

Deep Learning Researcher (San Diego, US)
Deep Reinforcement Learning & Optimization / Principal Engineer (San Diego, US)
Deep Learning Neural Architecture Search Researcher (San Diego, US)
Deep Reinforcement Learning and Optimization Researcher (Markham, Canada)
System-2 Deep Learning and Neural Reasoning Researcher (Markham, Canada)
Machine Learning Framework Engineer: Distributed / On-Device Training (San Diego, US)
Software Engineer – Machine Learning ( Model Zoo / Model Optimization ) (San Diego, US)
Machine Learning Compilers and Optimizations Engineer (Markham, Canada)
Engineer - Machine Learning Compilers & Optimizations (San Diego/Bay Area/ Austin, US)
Deep Learning Researcher (Amsterdam, Netherlands )
Senior Software Engineer (Qualcomm AI Research, Amsterdam, Netherlands )

Minimum Qualifications:

• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Qualcomm is committed to hiring and supporting individuals with disabilities. Although this role has some expected physical activity, an inability to perform one or more of the listed physical requirements should not deter otherwise qualified applicants from applying. We will work with you throughout the application and onboarding process to provide reasonable accommodations. Examples of expected physical activity include: monitoring and utilizing computers and test equipment for more than 6 hours a day; and continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.

Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

The Image Sensor Design Center (ISDC) in Sony Electronics currently has an opening for a Senior Algorithm Engineer in their San Jose, CA location. This position is part of an advanced technology team which is enabling the next generation of imaging. The successful candidate will bring proven experience in machine learning and computer vision to develop advanced image processing algorithms for future Sony image sensor products. Responsibilities include design and implementation of deep learning algorithms, optimization of algorithms for efficient hardware implementation, and evaluation of algorithms in real-world scenarios.

The Learning and Optimisation for Visual Computing Group at the University of Bonn has an opening for a fully-funded PhD position in the area of "Deep Multi-Modal Image Synthesis for COVID-19 Imaging and Beyond". Candidates should have a solid theoretical understanding of machine learning techniques and hands-on experience in training deep neural networks. Previous experience with medical image data is not essential but a plus.

We conduct research on state-of-the-art deep generative models that are used to enable real-world Bosch systems to be data-efficient. We are looking for a research engineer to support us both in academic research activities and in transferring those results to real-world systems.

The goal of this position is to develop new learning algorithms for generating better training datasets, making algorithms robust, reliable, and safe when learning even from limited/biased datasets. In particular, the focusing is on the use of generative models for data augmentation: generation of synthetic data using both computer graphics and image-synthesis with generative models (i.e., VAE, GANs, diffusion models), as well as techniques for domain transfer.

Concretely, your tasks will include:
- Develop and prototype novel approaches for synthetic data generation and augmentation using deep generative models and computer graphics techniques, and apply them on real-world problems in collaboration with our partners from Bosch business units.
- Support the rapid transfer from research prototypes into products. Ensure high coding quality for research assets to facilitate transfer to industrialization partners.
- Be part of applying our data synthesis tools to a large variety of applications within Bosch.

The Institute of High Performance Computing (IHPC) of the Agency for Science, Technology and Research (A*STAR) Singapore is seeking an exceptional Computer Vision / Machine Learning Research Scientist to expand our top-notch AI team.

In particular, the research scientist will join the Centre for Frontier AI Research (https://www.a-star.edu.sg/cfar), led by 2 IEEE Fellows and Principal Investigators trained at HKUST, KU Leuven, MIT, NTU, NUS, Stanford and UNSW.

We are looking for a research scientist with experience in Computer Vision and/or Machine learning, coupled with strong self-motivation to aim for fundamental breakthroughs in advancing the science and engineering of intelligence.

The research scientist will work on long-term, ambitious research in Embodied AI using a combination of weakly supervised, unsupervised and neurosymbolic learning approaches. Experience with Embodied AI, scene graphs, knowledge graphs, relational learning, SSL or NLP is highly advantageous.

Job requirements:

PhD degree in Computer Vision or Machine Learning (or related discipline) with a strong track record in CVPR, ECCV, ICCV, NeurIPS, ICLR, AAAI, IJCAI, TPAMI, IJCV or related. PhDs with a track record of the above-mentioned are encouraged to apply.
Strong programming skills and experience with Pytorch or Tensorflow
Strong computer vision and machine learning skills
Familiarity with NLP, or interest in AGI or developmental psychology would be pluses

Description
Yembo's AI Team is hiring a Research Scientist specializing in 3D Reconstruction with strong photogrammetry and geometry fundamentals to drive development of 3D reconstruction algorithms in support of our virtual inspection products. In this role, you will prototype and develop solutions for critical product features and help architect a 3D reconstruction pipeline that leverages the unique constraints and benefits of smartphone video captures in indoor environments.

Yembo's AI Team is hiring a Research Scientist specializing in Deep Learning to spearhead the development of state-of-the-art solutions for semantic labeling, material recognition, hazard identification, and damage recognition, both in 2D images and on 3D models. In this role, you will prototype and develop solutions for critical product features and architect a rapid development process for building, training, and evaluating deep learning models on our proprietary datasets.

Quick self check:

Do you want your hard work to make an impact?
Do you enjoy building technology that solves real problems?
Are you looking for exciting new ways to apply your computer vision expertise?
If you answered yes to those questions, we invite you to consider joining Yembo!

At Yembo, we are united around our mission to bring revolutionary technology to traditionally boring home services industries. We have already disrupted the moving industry, and now we've set our sights on property insurance.

The AI Team is Yembo's product-driven source of innovation. As a Research Scientist specializing in Deep Learning, you will be in the driver's seat developing the technology that powers our products. If you are excited to use scene recognition to transform the industries that big tech forgot, we would love for you to join our team!

Let's make some things clear up front:

Yembo maintains a culture of excellence -- we are looking for candidates who want to make an impact on Day One
Yembo offers highly competitive salaries -- we make sure our employees are well compensated for their hard work
Yembo gives you the chance to fast track your career -- you will not be a cog in the machine

Requirements
PhD in computer science or related field focusing on computer vision, machine learning, or deep learning, or MS with 3+ years of relevant industry experience, or BS with 4+ years of relevant industry experience
Fluency in Python and PyTorch (and code to back it up!)
Strong software engineering skills with a demonstrated ability to work with and improve existing code bases (we love open source contributors!)
Track record of publications at top computer vision and machine learning conferences, or relevant project ownership in a product-driven R&D role
Ability to move fast to prototype and iterate
Bonus

Strong fundamentals in 3D computer vision and graphics
Familiarity working with Docker containers
Familiarity in C++ and CUDA
Prior experience working at a startup

Benefits
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k with 4% company match)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (3 Weeks Vacation, Sick Leave & 11 National Holidays)
Family Leave (Maternity, Paternity)
Annual Events & Meetups
Work From Home (Fully Remote Team)
Stock Option Plan
Note: Health care, retirement and insurance benefits are currently available only for US employees.

Send me your resume!