Job Board

Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis that are creating software and hardware solutions to radically evolve the capabilities of the United States and our allies. If you are passionate about solving problems that have real impact, come join Anduril and build the future of defense.

We are working on cutting edge complex systems that need to operate in the harshest of conditions. To support our development and deployments tasks we are building up a Modeling and Simulation team to support our efforts. Our goal is to create a modeling and simulation capability to support all stages of our current and future product life cycles, from prototype development all the way to deployment, training and sustainment.

WHAT YOU'LL DO
• Have an outsized impact on the culture and key architectural decisions of the team
• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products which include
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics

Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions
• Simulation solutions for Guidance, Navigation and Control algorithm development
• Software-In-The-Loop (SITL) solutions
• Hardware-In-The-Loop (HITL) solutions
• Pilot-In-The-Loop (PITL) solutions
• Customer product training solutions
• Monte-Carlo simulation analysis
• Failure mode analysis

REQUIRED QUALIFICATIONS
• 5 years in relevant Science and/or Engineering related field; relevant academic experience (BSc. etc.) qualifies
• Knowledge of flight dynamics/flight physics and control
• Nominal proficiency with C/C++
• Nominal proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy))
• Flight test data processing experience
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS
• 10 years in relevant Science and/or Engineering related field; relevant academic experience (BSc., MSc. Phd) qualifies
• Advanced proficiency with C/C++
• Advanced proficiency with Mathworks products (MATLAB, SIMULINK etc.)
• Experience with model development to support Guidance, Navigation and Control algorithm development
• Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)
• Early Stage Start Up

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis that are creating software and hardware solutions to radically evolve the capabilities of the United States and our allies. If you are passionate about solving problems that have a real impact, come join Anduril and build the future of defense.

Software engineers at Anduril build the systems that run on our autonomous assets, the networking and backend services that integrate large amounts of sensor data, and the user interfaces that display that data in real time. We believe in having minimal separation between engineers and our users as well as between engineering teams. As a Software Engineer, you will be working alongside a team of engineers with a diverse set of backgrounds and skills. Anduril has a collaborative culture with plenty of opportunities for ownership.

Anduril’s Mission Autonomy team develops intelligent autonomous behaviors for groups of distributed assets, both Anduril-fielded products, as well as third-party integrations. These groups, composed of air, land, and sea-based platforms, jointly cooperate to complete tasks, respond to new data, and allocate themselves in safe, strategic ways. The team implements algorithms to generate effective plans that consider everything from asset-task allocations to onboard sensor management. Pushing autonomy to the edge, these autonomous behaviors enable both responsive behaviors and on-demand vehicle tasking in complex environments.

This position is available in our Orange County, Seattle, Boston, and DC offices!

WHAT YOU'LL DO
• Interact with business development and customers to define and scope engineering requirements
• Establish engineering completion criteria and evaluation metrics for system performance
• Mentor junior Software Engineers, encouraging proper Software Development skills
• Work on challenging problems, collaborating across multiple teams to design efficient and clean solutions
• Responsible for software solutions throughout entire lifecycle - requirements, design, architecture, implementation, integration, simulation testing, flight testing, and deployment
• Follow an Agile software process, including daily stand-ups, sprint planning, and retrospectives
• Key reviewer for software design as well as implementation

REQUIRED QUALIFICATIONS
• 3+ years of experience in software development using C++, with an emphasis on real-world systems integration problems and complex projects, demonstrated in the context of product development or program deliverables
• Experience effectively communicating technical information to audiences and stakeholders of varied backgrounds (BD, engineers, program managers, customers, etc)
• Passion for defending the United States and its allies
• Must be able to obtain and hold a U.S. security clearance, preferably Top Secret
PREFERRED QUALIFICATIONS
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience and demonstrated interest in AI/Robotics in one or more of the following areas: motion planning, sensor fusion, probabilistic decision making, dynamics and controls, computer vision, and/or machine learning
• Aptitude in mathematical problem-solving in areas including but not limited to: graph search, convex optimization, optimal allocation, Kalman filters, and geometric methods
• Python Proficiency

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis that are creating software and hardware solutions to radically evolve the capabilities of the United States and our allies. If you are passionate about solving problems that have real impact, come join Anduril and build the future of defense.

Anduril is developing software at the intersection of machine learning, computer vision, and sensor fusion. We apply convolutional deep learning techniques to multi-spectral sensor inputs for autonomous detection and classification. Lattice Ghost UAS, Sentry Tower and other autonomous platforms work in tandem to fuse these detections using Bayesian inference. Our engineers also apply classical techniques in computer vision to perceive environmental features for pose estimation and GPS-denied navigation. Estimation and Tracking engineers at Anduril develop cutting edge software for autonomous operation and situational awareness.

REQUIRED QUALIFICATIONS
• BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or related field
• 3+ years experience developing production grade software
• Proficiency in production-grade C++ software development
• Strong math skills, especially in linear algebra and probability
• Passion for defending the United States and her allies
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS
• We are looking for engineers with foundations in one or more of the following areas and are interested in learning more:
• Experience processing sensor measurements from Radar, Optical Sensors, RF Sensors, or LIDAR
• Experience with sensor characterization and modeling
• Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, Particle Filter)
• Derivation of performance metrics and analysis of system performance
• Multi-target prediction and tracking (e.g., Multi-hypothesis tracking)
• Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo)
• Experience in unmanned aerial systems
• Experience in Docker, CircleCI, Linux

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in robotics, computer vision, sensor fusion, optics, and data analysis that are creating software and hardware solutions to radically evolve the capabilities of the United States and our allies. If you are passionate about solving problems that have real impact, come join Anduril and build the future of defense.

For this particular role, we are looking for engineers who will build high-quality C++ software to enable autonomous systems to perceive, navigate, and react in the environment. As an applicant, you don’t need to be experienced in robotics or perception, but you do need to be an engineer with strong skills in C++ and a track record of developing and deploying excellent products. As part of the job, you will have opportunities to work with domain-experts to develop your skills in areas such as robotics, sensor fusion, tracking, and/or machine learning.

WHAT YOU’LL DO
• Other engineers in the “Software Engineer - Perception Infrastructure” role have made contributions in the following areas:
• Tracking objects across multiple sensors, and implementing this efficiently on edge-based and cloud-based platforms.
• Accelerating deep neural networks and computer vision on edge-devices with limited internet bandwidth
• Controlling cameras and other sensors in real-time
• Building the above capabilities such that the software can be easily adapted to new products and use-cases
• Debugging, analyzing, and improving robotic systems in production environments

REQUIRED QUALIFICATIONS
• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics or related technical field
• 4+ years of industry experience
• 3 or more years C++ experience used in the last 4 years, including modern C++ features
• Proven track record of software development, including shipping one or more products
• Able to both iterate quickly to produce a workable solution and think ahead for future improvements
• Able to independently prioritize, scope work and collaborate across teams
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS
• Familiarity with sensor fusion, tracking, machine learning, computer vision, or robotics
• Experience with GPU programming
• Experience with OS internals and kernel development/debugging
• Master’s degree or PhD

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis that are creating software and hardware solutions to radically evolve the capabilities of the United States and our allies. If you are passionate about solving problems that have real impact, come join Anduril and build the future of defense.

The Robotics team at Anduril develops aerial and ground-based robotic systems. The team is responsible for taking products like Ghost, Anvil, and our Sentry Tower from paper sketches to operational systems. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

WHAT YOU’LL DO
• Write and maintain core libraries (frame transformations, targeting and guidance, etc.) that all robotics platforms at Anduril will use
• Own major feature development and rollout of large features for our products - recent examples include building a Software-in-the-Loop simulator for our Anvil product and characterizing and improving Ghost helicopter battery consumption with route planning
• Work closely with our hardware and manufacturing teams during product development, providing quick feedback that contributes to the final hardware design

REQUIRED QUALIFICATIONS
• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience working with and testing electrical and mechanical systems
• Strong C++ experience in a Linux development environment
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS
• MS or PhD
• Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Python, Rust, and/or Go experience
• Experience programming for embedded and physical devices
• Multi-agent coordination of UAVs
• Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

We are a computer vision research group in Berlin, Germany creating innovative solutions in collaboration with product teams all across Amazon for some of the most visible and exciting problems out there. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact in multiple application domains, such Visual UIs for Search and Discovery, Product Identification in Images, Semantic Visual Understanding of the Product Catalog, Accessibility, Diversity and Video Understanding.

If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions in Berlin for all levels of experience and this is what we are looking for.

Key job responsibilities:

Research, design, implement and evaluate novel computer vision algorithms
Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields
Collaborate closely with stakeholders, researchers and engineers to drive systems from prototyping to production level
Collaborate with teams spread all around the world

About the team:

The Computer Vision NA Consumer team (CVNA) located in Berlin is an applied science team with subject matter expertise on diverse Computer Vision (CV) and Machine Learning (ML) areas. Our North Star is to operate as a centralized science team across all Amazon business units, propelling innovation and empowering partner organizations to launch impactful solutions using CV/ML.

Basic Qualifications:

- A master of science or PhD in computer vision/machine learning or related experience
- Broad knowledge of fundamentals in computer vision/machine learning
- Coding skills in two or more programming languages such as Python, C, C++, Java etc.
- Living in or willing to relocate to Berlin, Germany

Preferred Qualifications:

- Experience in publishing at computer science conferences or journals
- Hands-on experience with popular deep learning frameworks
- Hands-on experience with Python
- Strong verbal and written communication

We're looking for an outstanding Applied Scientist with a focus on Computer Vision and Computer Graphics who will be working on visual sensor simulation to verify and improve Prime Air's onboard perception software stack.

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide visible benefit to customers, this is your opportunity.

Come work on the Amazon Prime Air Team!

Key job responsibilities:

You will be working with a state-of-the-art rendering engine to create large-scale 3D digital twins of the real world and model physical image formation processes of visual sensors to support requirements from Computer Vision / Machine Learning / Perception scientists.

Basic Qualifications:

- PhD plus 5+ years of experience in Computer Vision, Computer Graphics or related field
- Graduate from an accredited college or university
- Experience in applied computer vision research
- Experience with render engines
- Proficient in C++ and Python coding skills
- Excellent problem-solving ability

Preferred Qualifications:

- Experience building complex software/hardware mission-critical systems that have been successfully delivered to customers at scale
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes and testing
- Demonstrated business communication skills
- Experience communicating with various teams to collect requirements, describe product features and technical designs

Feel free to contact us to learn more or apply over the job link.

About Plus

Plus is a global leader in the autonomous trucking revolution, with award-winning high-performance driverless technology. Named by Fast Company as one of the World’s Most Innovative Companies of 2022, Plus is the only autonomous driving company with customers operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making trucking safer, more fuel efficient, and more sustainable. Plus’ industry awards include from Fast Company, Insider, Consumer Electronics, AUVSI, and others. Based in Silicon Valley, Plus is looking for talented individuals to join its fast-growing teams.

Responsibilities:

Use computer vision, computational geometry, and image processing techniques to develop novel deep learning models
Combine multiple solutions from a wide range of disciplines to solve a single complex system in a creative approach
Research and design deep learning techniques for prediction or perception
Develop efficient deep learning architectures running in real-time
Collaborate with multiple teams to find new ways of modeling in reliable, safe, and efficient AV stack

Qualifications:

Strong programming experience in Python, C++, or Java
PhD in Computer Science, Electrical Engineering, Mathematics, Statistics or related fields
Comprehensive experience using state-of-the-art machine learning tools in applied setting
Past experience with applying deep reinforcement learning into practical applications
Published journal and/or conference papers and completed project descriptions should be submitted with the application
Perks:

Work on industry-leading technologies at an energetic, exciting Silicon Valley startup
Forge the future of autonomous transportation while collaborating with AI experts from around the world
Catered free lunch, unlimited snacks and beverages
Competitive salary and outstanding benefits package

The Samsung AI Research Centre in Toronto is looking for research scientists, research engineers, and PhD interns. Our centre is one of seven Samsung AI centres around the world and part of the larger Samsung Research organization. Our lab consists of about 30 research scientists and engineers in the fields of computer vision, NLP, and systems, including a constant stream of visiting faculty and interns. We work at the intersection of fundamental research and industrial applications, with the goal of publishing our research at the most elite scientific venues and having a product impact on Samsung.

One area of interest for us is image manipulation on mobile phones. With the recent advances in computational photography, mobile phones can already take photos of exceptional quality. We aim to further improve on that quality and add exciting new image manipulation capabilities using modern computer vision and ML tools, such as burst photography, GANs, and implicit representations. We are looking for junior research scientists and PhD interns who are interested in working with us on this exciting problem. Ideal candidates would already have some exposure to low-level computer vision and ML tools, be motivated to work on cutting-edge research with practical applications, and be strong independent researchers.

Another area of interest is video understanding, including searching and interacting with instructional videos, livestream video task monitoring, and activity modelling and recognition. Addressing these challenges in a weakly supervised, real-time setting not only requires a deep understanding of cutting-edge ML and CV tools and techniques, but also the creative combination of visual and linguistic modalities, as well as addressing challenges in human-AI interaction. We are looking for experienced researchers with a strong background in the above-mentioned subfields of AI, along with a curiosity to learn how to bring these pieces together to solve real-world problems.

Those interested should go to: https://boards.greenhouse.io/saictoronto

Amazon Dash Cart team is looking for experienced Applied Science Managers to support the future technology developments that impact such as Amazon Dash Cart and Amazon Go. You would be entrusted leading a team that is researching and developing state-of-the-art computer vision, machine learning and sensor fusion algorithms for these and future products. This is not solely a management role, you will be directly contributing to the research and development while you lead.

Key job responsibilities
Lead scientists and engineers on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.

Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.

Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.

Report results in a scientifically rigorous way.

Interact with other hardware and software engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for our products

About the team
We are developing advanced technologies that enhance the experience of shoppers in physical stores. Designed and custom-built by Amazon, existing products such as the Amazon Dash Cart and Amazon Go integrate a variety of advanced technologies including computer vision, sensor fusion, and advanced machine learning.

Our team is distributed in Boston, Arlington and Seattle. We have a broad mix of experience levels and tenures, and we’re building an environment that encourages knowledge sharing and mentorship. Our members enjoy one-on-one mentoring and we strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.

OPTIMA group (https://optima.meduniwien.ac.at) at Medical University of Vienna is seeking an exceptionally motivated postdoc to strengthen our interdisciplinary team working on Artificial Intelligence in Retina. You will be leading exciting projects, at the interface of computer science and medicine. The focus of the research is on Representation Learning (self-supervised learning) techniques from multimodal data (multimodal images and clinical records) to build robust, scalable, and explainable AI for interpreting retinal pathology from large-scale 3D optical coherence tomography (OCT) images of human eye. The work will be part of a long-term joint initiative with Johannes Kepler University, funded by FWF Austrian Science Fund.

The successful candidate will be immersed in a multidisciplinary environment working closely with a team of clinicians, AI experts, and software engineers. Advancements will have a real-world impact on the clinical management of patients suffering from retinal diseases, a leading cause of blindness today.

Your profile
- PhD degree (or soon to be completed) in a relevant discipline.
- Strong publication record in relevant journals and conferences
- Excellent programming skills and experience in machine and deep learning (PyTorch, TensorFlow, …)
- Excellent analytical, interpersonal, as well as written and oral communication skills in English
- Ability to meet deadlines, co-supervise PhD students, and work autonomously

Application
Applicants with an excellent academic record, interested in machine learning for healthcare should send an email to Hrvoje Bogunović (hrvoje.bogunovic@meduniwien.ac.at) with:
- CV including publication list and contact of two references
- A cover letter (two-page max) indicating your interests and why your expertise is relevant

Female candidates are explicitly encouraged to apply!

The initial appointment will be for one year with the possibility of extension. Salary is prescribed by the university wage agreement, and a minimum gross yearly salary is €58k.

Environment
OPTIMA is an interdisciplinary research lab composed of retinal specialists, computer scientists and software engineers, developing innovative image analysis methods for personalized medicine in retinal disease. The lab has access to extremely large sets of ophthalmic images, and is well-equipped with a dedicated high-performance computing cluster containing the latest generation GPUs. The group keeps close collaboration with several world-class academic research institutions, as well as partnerships with the leading imaging device and pharmaceutical companies.

DESCRIPTION

Job summary
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?

Key job responsibilities
You will be working on developing new CV algorithms to improve deep learning models including reducing the sample complexity, improving generalization ability, boost model robustness, etc. You will be a critical science contributor and can create a significant business impact to the company. This opportunity requires excellent technical, problem-solving, and communication skills. An ideal candidate will have a high teamwork mentality coupled with a strong bias for action yet always insisting on the highest standards.

A day in the life
In this role, you will work closely with other researchers in the team to research, design, and deliver science components powering computer vision and active learning algorithms to cost-effectively create very large-scale training datasets for various compute vision/robotics applications. You will have the unique opportunity to work on multiple popular Computer Vision tasks altogether, therefore, embrace the great potential to innovate more

About the team
We are a smart team of doers that work passionately to apply cutting-edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. The team is using computer vision, machine learning, sensor fusion, real-time and distributed systems to convert requirements into concrete deliverables. A Researcher on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.

BASIC QUALIFICATIONS
PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
2+ years of experience of building machine learning models for business application
Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS
PhD in Computer Science, Electrical Engineering, or related field focus on machine learning and computer vision research.
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.
Proven track record of innovation in creating novel algorithms and advancing the state of the art
Experience investigating, designing, prototyping, and delivering new and innovative system solutions - Linux platform experience
Extensive experience applying theoretical models in an applied environment.
Strong demonstrated skills implementing and deploying large scale machine learning applications and tools.
Strong personal interest in learning, researching, and creating new technologies with high commercial impact.
Excellent written and verbal communication skills, ability to communicate effectively to both technical and nontechnical audiences

Description:
Are you interested in revolutionizing video communication with us? Copresence is looking for Computer Vision and Computer Graphics engineers to research and implement cutting edge digital human avatar technology. You will mainly work in Python to implement scientific findings in the field of photorealistic human avatars. Our team will provide you with high-quality ground truth data that we produce in-house.

COPRESENCE is a young and thriving company with its research and development department based in Heidelberg, Germany. We value flat hierarchies, open communication and flexible working models. We are working on the bleeding edge of Computer Science, specifically Computer Vision. Visit us at copresence.tech for more information. Starting date would be as soon as possible.

Responsibilities:
- Development and improvement of our Computer Vision algorithms
- Implementation of scientific findings from the literature
- Working on the cutting edge of photorealistic human avatar technology by pushing the boundaries of what is possible

Requirements:
- Strong background in Computer Vision/Machine Learning and/or Computer Graphics
- Good communication skills, ability to express thoughts logically and succinctly
- Experience solving ambiguous challenges
- Experience working in dynamic, fast-paced environments
- Fluent in English language, German is a plus

Technologies:
- Machine Learning/Deep Learning
- Computer Vision
- Computer Graphics
- Python
- PyTorch/JAX

- C++ skills are a plus
- OpenGL/Vulkan skills are a plus
- Experience with game engines is a plus
- Experience with hardware tinkering/cameras is a plus

A post-doctoral position is available for a PhD graduate (imminent or recent) to join a highly interdisciplinary team of scientists and clinicians at the UBC School of Biomedical Engineering and Vancouver General Hospital. The successful candidate will be welcomed into a dynamic and stimulating research environment, where they will lead a highly visible project in data science and cardiac health. The position is well-suited for those pursuing a research career in applied machine learning in academic or industry, and are looking for an opportunity to establish themselves as an early career leader in artificial intelligence and health care.

The research will focus on the development and application of machine learning methods for the analysis of multi-modal data, including electronic medical records, electrocardiograms, and cine magnetic resonance images (MRIs) of the heart. The technical outcomes of the project have the potential to make a large positive impact on the practice of cardiology and care of patients with heart disease. While the project is an academic initiative, it offers an opportunity to collaborate with a highly interested industry partner.

Eligibility: Individuals with enthusiasm for applied machine learning, with a recent (within 3 years) PhD in computer science, biomedical/computer engineering, or related field, excellent academic credentials, and publications in high impact conferences and journals are encouraged to apply. Demonstrated familiarity with a range of machine learning methods, including ensemble learning methods such as random forests and feature learning methods such as neural networks, and expertise in the application of such methods to image analysis are required. Ability to work effectively in an interdisciplinary team, and strong verbal and written communication skills are essential. Experience with biomedical data and health applications is preferred. UBC hires on the basis of merit and is committed to employment equity. We encourage all qualified persons to apply. However, all else being equal, Canadian citizens and permanent residents will be given priority.

Duration: 1 year with extension for a second year with satisfactory progress

Location: University of British Columbia, Vancouver, Canada

Salary: Competitive and commensurate with qualifications and experience

Instructions: Please submit a cover letter, curriculum vitae, and the names and full contact information for three professional references. The cover letter should include a description of your previous research experience and long-term career goals. Please send electronic applications to Dr. Roger Tam (roger.tam@ubc.ca), Associate Professor, UBC School of Biomedical Engineering, no later than June 15, 2022.

About Tencent Games
Tencent Games was launched in 2003 and is now the largest gaming company in the world, achieving game-related revenues of $29.3 billion in 2020. As a leading global organization for game development, publishing and operations, we are dedicated to providing high-quality interactive entertainment experiences to players and currently offer more than 140 games including PUBG MOBILE, Call of Duty Mobile, and League of Legends to hundreds of millions of players across more than 200 countries and regions. Tencent Games offers talented individuals the opportunity to help shape and build something unique within the gaming industry as a whole.

About The Position:
The aim of this internship is to foster academic collaborations with HDR students through research with the Tencent XR Lab. During the research internship, your role is to develop advanced computer vision algorithms and video and graphics software systems for real-time scene understanding, 3D reconstruction, SFM and SLAM, XR/VR/AR applications, with a team of talented researchers and engineers. You may also submit your research outcome for publication at major computer vision and machine learning conferences, subjecting to internal IP approval and patent application.

Our internships are 12 weeks (about 3 months) to 24 weeks (about 6 month) long, with the possibility of renewal, and we have various start dates throughout the year.

Requirements:

Must be currently enrolled in (or about to graduate from) a full-time Master or PhD degree program in Australia in the field of Computer Science, Electrical Engineering, Robotics, Machine Learning, Mathematics, or equivalent, and will return to the degree program after the completion of the internship
Strong knowledge with Mathematical and numerical optimization, linear algebra, probabilistic estimation, and 3D geometry
Strong knowledge in image processing or video or computer graphics, or computer vision or video game development

Have paper published at leading computer vision, or computer graphics, or machine learning, or robotics conferences or journals, such as CVPR, ICCV, ECCV, ACCV, BMVC, WACV, 3DV, SIGGRAPH, ICCP, Neurlps, ICLR, ICRA, IROS, RSS, and ISMAR, or in major CV/ML/CG/Robotics journals

3+ years programming experience in Python and C++, familiar with modern C++ features
Experience understanding, developing, and analysing computer vision or deep learning systems
Proficient English language skills

About Tencent Games:

Tencent Games was launched in 2003 and is now the largest gaming company in the world, achieving game-related revenues of $29.3 billion in 2020. As a leading global organization for game development, publishing and operations, we are dedicated to providing high-quality interactive entertainment experiences to players and currently offer more than 140 games including PUBG MOBILE, Call of Duty Mobile, and League of Legends to hundreds of millions of players across more than 200 countries and regions. Tencent Games offers talented individuals the opportunity to help shape and build something unique within the gaming industry as a whole.

About The Position:

We are looking for passionate Research Engineers/Applied Scientists to architect, design, research and develop computer vision algorithms and software systems in the areas of 3D Vision and SLAM, targeting at camera-based 3D spatial perception and real-time scene understanding for VR/AR/XR applications.

You will work with a team of world class researchers and engineers to build the next generation of visual perception algorithms and systems to achieve spatial AI in VR/AR/XR products. Ideal candidates have a research background in 3D computer vision, or Robot SLAM and/or computer graphics, or neural rendering, video game program, as well as must have strong programming skills. Experience with camera sensors and real time compute and signal processing hardware is a plus.

This role could be a standard or a senior role, depending on education and past research and employment experience.

Roles & Responsibilities

Research, develop, implement and optimise algorithms and software solutions related to 3D computer vision and scene understanding, 3D reconstruction, vision SLAM, or human pose estimation
Create production level code that is elegant, efficient, and maintainable
Take accountability for solutions that are modular and testable
Build unit testing to prove that your code and solutions truly work
Work closely with hardware and other software engineering teams on tech selections and solutions
When necessary, debug, optimise and aspire to make things excellent

Requirements
Must hold a Master/MPhil or above degree in computer science, computer vision, computer graphics, robotics, video game programming, or machine learning, or have suitable alternate expertise and experience
Proven track record in research excellence as evidenced by published in at least one of the following conferences as an author, SIGGRAPH, CVPR, ICCV, ECCV, ACCV, WACV, BMVC, ICCP, ISMAR, NeurlPS, ICLR, ICRA, IROS, RSS, or in major CV/CG/Robotics/Machine learning journals
Must be passionate about generating new ideas, solving problems, and building working systems
Must be self-motivated, proven collaborators, good communicators, attentive to details, and keen to learn
Ideally have practical experience working in an academic or industrial research environment

Track record of shipping working code and solutions based on your ideas
Team player, ability to perform in cross functional teams and to share knowledge to others
Good communication skills in English

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About the Company:

Tencent is the world's largest video game company by revenue. It produces innovative products and services to improve the quality of life of people around the world. It also owns and operates QQ and WeChat, and Tencent Music.

Job Description:

We are looking for passionate Research Engineers/Applied Scientists to architect, design, research and develop computer vision algorithms and software systems in the areas of 3D Vision and robot SLAM, targeting at VR/AR/XR applications.

You will work with a team of world class researchers and engineers to build the next generation of visual perception algorithms and systems to achieve spatial AI in VR/AR/XR products. You will contribute to world class algorithms research and software development. Ideal candidates have a research background in 3D computer vision, or Robot SLAM and/or computer graphics, or neural rendering, video game program, as well as must have strong software engineering and C/C++ programming skills. Experience with camera sensors and real time compute and signal processing hardware (GPU/CUDA/DSP) is a plus. This role could be a starting or a senior role, depending on education and past experience.
Responsibilities
• Research, develop, implement and optimise algorithms and software solutions related to 3D computer vision , deep learning, scene understanding, 3D reconstruction, SLAM, or understand human face, hands, and pose.
• Create production level code that is elegant, efficient, and maintainable.
• Take accountability for solutions that are modular and testable.
• Build unit testing to prove that your code and solutions truly work.

Minimum Qualifications:

• Must hold a PhD or Masters’ degree in computer science or related fields.
• Must be strong computer programmers with software engineering experience and good code-testing
and debugging skills. Experience in the following would be advantageous:
* Fluent in Python and C/C++ with at least 3 years of experience writing quality code.
• Team player, ability to perform in cross functional teams and to share knowledge to others
• Good communication skills in English

Desired Qualifications:

• Proven track record in research excellence as evidenced by published in at least one of the following conferences as a co-author, SIGGRAPH, CVPR, ICCV, ECCV, ACCV, WACV, BMVC, ICCP, ISMAR, NeurlPS, ICLR, ICRA, IROS, RSS, or in major CV CG Robotics Machine learning journals.
• Must be passionate about generating new ideas, solving problems, and building working systems.
• Must be self-motivated, proven collaborators, good communicators, attentive to details, and keen to
learn new techniques.

The purpose of the role is to conduct cutting-edge mathematical and applied research on foundations and challenges of artificial intelligence (AI) to develop state-of-the-art solutions for real-world large-scale problems at Samsung Research and Development Institute, UK (SRUK). The research output will be disseminated in local and international research communities such as in research seminars, and top-tier conferences and journals.

The accepted interns will have the opportunity to work on diverse fields of AI as a member of the Advanced Research Team, including but not limited to machine learning, optimization theory, computer vision, pattern recognition, evolutionary computing, image and video processing, speech processing, natural language processing and understanding. In the application process, we’ll work with you to find the opportunity that best aligns with your interests and background.

During the internship, the interns are paired with mentors and expected to collaborate with other interns and research engineers. Interns at SRUK are encouraged and supported to contribute to local and international research communities and efforts by preparing high quality patent proposals and research papers (being listed as an author) with reproducible code for submission to top-tier conferences and journals.

Key Responsibilities:

Cutting-edge research to develop state-of-the-art solutions to existing problems and/or propose novel research challenges considering real-world case studies in AI.

Development of high quality code with detailed documentation to support reproducible research in local and international research communities in AI.

Publication in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, STOC, IEEE TPAMI, IEEE TNNLS, IEEE TSP, IEEE TIP, Information Fusion, JAIR, IJRR, IJCV, and JMLR.

Key Requirements:

Essential:

Currently studying for a PhD in Mathematics, Computer Science or a related discipline (or just completing). Efficiency in elementary topics in mathematics (calculus, probability, statistics, linear algebra and optimization) and computer science (algorithms, data structures, parallel/distributed computing).

Experience in one or more general purpose programming languages including Python, Java, C and C++.

At least one first-author publication in one of the following conferences and journals: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, InterSpeech, EMNLP, ACL, STOC, COLT, AISTATS, UAI, MobiComm, IEEE TPAMI, IEEE TNNLS, IEEE TSP, IEEE TIP, IEEE IoT, Information Fusion, JAIR, IJRR, IJCV, and JMLR.

Additional:

Experience in software libraries and toolboxes such as Tensorflow, PyTorch, SciKits, Kaldi, OpenCV and CUDA.

Experience in software engineering and development. Relevant work experience as an intern or a researcher in an R&D Lab. in academy or industry.

Ability to design and execute a research agenda.

Contract Type: Internship

Contract Duration: The internship period is negotiable according to the applicant’s current circumstances, but will typically be 6 to 9 months

Location: Staines-upon-Thames, Surrey, UK

Hybrid Working Policy: The role will be office based in Staines-upon-Thames a minimum of 3 days per week. You may work from home 2 days per week if preferred.

AICS is looking for talented AI researchers in the fields of Computer Vision and Machine Learning to join our newly established Research team - see https://aics.asus.com/ai-research-en/ Specific research topics of interest include knowledge discovery, domain generalization, long-tailed learning, self-supervised approaches.

AICS is a software division with a start-up vibe, innovation, and sound growth mindset. We focus on providing SaaS and AI solutions to solve real problems in the healthcare domain. You will work side-by-side with renowned scholars and researchers on the most advanced AI problems. You will also have the chance to work directly with our business partners and develop your research using real domain data. You will publish your research results in prestigious conferences or journals.

Responsibilities:

• Conduct cutting-edge research and development in CV, ML, and other related fields.
• Work closely with partners and engineers to create or improve algorithm/model performance and transfer advanced technologies to products.
• Author quality and peer-reviewed publications.
• Collaborate with university partners on research projects, co-supervise students and interns.

Qualifications:

• Ph.D. in electrical engineering, computer science, or related fields, with relevant specialization.
• Experience working in an academic and/or industry research lab.
• Strong record of publications in high-impact conferences and journals.
• Hands-on algorithm and model development using deep learning frameworks and programming languages like Python or C/C++.
• Strong written and verbal communication skills.

At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our researchers are working on a wide range of topics, impacting virtually every technology, from wireless to automotive, XR (Extended Reality, AR/VR), IoT (Internet of Things), and mobile. We are advancing machine learning research across the entire spectrum of topics, including fundamental technology, platform innovation, and applied use cases.

As Deep Learning Researcher at Qualcomm, you develop and quickly iterate on innovative research ideas, and prototype and implement them in collaboration with other researchers and software engineers. You stay up to date with the latest research in the field and publish papers at scientific conferences. You create impact and engage with other teams to see your ideas deployed on millions of devices, such as mobile phones, AR/VR headsets, or autonomous vehicles.

Our projects include the following research areas:

- Power efficiency: Neural network design, compression, quantization, algorithms, efficient hardware, and conditional computation
- Perception: Efficient architectures and algorithms for understanding images and videos. Deep learning applied to cameras, RF signals, and other sensors
- Personalization and federated learning: Continuous learning, model adaptation, and privacy-preserving distributed learning
- Wireless AI: Machine learning design for wireless communication and sensing, wireless perception, learning on edge-device, inverse problems, weakly/semi-supervised learning
- Combinatorial optimization: Solving optimization problems using reinforcement learning and graph neural networks
- Data compression: Deep generative models trained to compress audio, images, and video
- Causality and Interactive Learning: Causal representation learning, interactive causal discovery, (hierarchical) reinforcement learning & skill/affordance learning
- Efficient learning: Robust learning through minimal data, unsupervised learning, and on-device learning

Working at Qualcomm means being part of a global company (headquartered in San Diego) that fosters a diverse workforce and puts emphasis on the learning opportunities and professional development of its employees. You will work closely with researchers that have published at major conferences, work on campus at the University of Amsterdam, where you have the opportunity to collaborate with academic researchers through university partnerships such as the QUVA lab, and live in a scenic, vibrant city with a healthy work/life balance and a diversity of cultural activities.

In addition, you can join plenty of mentorship, learning, peer, and affinity group opportunities within the company. In this way you can easily develop personal and professional skills in your areas of interest. You’re empowered to start your own initiatives and, in doing so, collaborate with colleagues in offices across teams and countries.

Minimum qualifications:

- Master’s degree or PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience
- Experience in deep learning or reinforcement learning
- Ability to formulate research problems and design, experiment and implement solutions
- Programming experience in Python and hands-on experience with deep learning toolkits such as PyTorch, TensorFlow, Jax

Preferred qualifications:

- Track record of publishing at major conferences in machine learning (NeurIPS, ICML, ICLR, CVPR, etc.) or wireless communication (ICC, Globecom, IEEE Trans. On Comm/Wireless)
- Experience working in an academic or industry research lab

A three-year PhD position on Video Quality Assessment and Enhancement for Medical Service is available at the Department of Computer Science, NTNU, in Gjøvik, Norway.

The new Norwegian National health and hospital plan 2020-2023 states that state-of-the-art technology should be taken advantage of, and priorities should be taken to ensure sustainable and financially viable solutions fulfilling the core values of the Norwegian healthcare system. The plan emphasizes on the use of video communication and other state-of-the-art technologies to not only provide a better service to patients leading to earlier detection of diseases, earlier treatment, and recovery but also reducing the workload and financial costs in the medical sector.

To follow this long-term plan, pilot studies in Norway have focused on the use of live video communication between the paramedics and doctors at the hospital. Such a video communication in medical services between paramedics in the field and doctors at the hospital makes enhancing and optimizing the quality of the videos used in medical services and so video quality assessment which is required as a basis for video enhancement crucially important. In this project, to facilitate better pre-hospital decision support, we focus on the quality assessment and enhancement of video communication in medical services

This PhD position is devoted to the development of a new framework to guarantee a high quality of visual information in video communications between the paramedics on the field and doctors in the hospital.

The main objectives of this work will be focused on the introduction of a new real-time optimization solution for efficient perceptual quality evaluation and enhancement of the delivered video stream. The solutions which most likely be based on using different deep learning and machine learning techniques must integrate the constraints and specificities related to the medical context and more particularly the decision support with the maximum of reliable and relevant visual information.

Application deadline: 29.05.2022

Lab Summary
We are NEON, a subsidiary of Samsung dedicated to creating Artificial Humans who interact with you in ways indistinguishable from the real world. Our NEONs (Neo humaNs) draw inspiration from the most natural of interfaces: interaction with another human being. Bringing together a world-class R&D team of researchers, developers, and engineers, that are building production technology at the cutting edge of artificial intelligence, machine learning, real-time computing, conversational agents, computer graphics, design, and more.

NEONs hold the potential to advance our digital world while preserving the elements of human interaction that are meaningful to all of us. If you share that dream – if you want to make the visions you saw in Her, Blade Runner, and more into tangible reality – and are passionate about taking such ideas into handcrafted renderings, we would love to hear from you!

Position Summary
We are seeking collaborative and result-oriented applied researchers with both strong experience and a keen interest in taking fundamental research into new product innovation. We expect our applied researchers to understand the state-of-the-art research and apply it to solve deep technical challenges by distilling research insights into application. As part of our team, you will both conduct research and play a key role in developing and scaling the technology for a wide user base. Our team is based in Mountain View, California. However, remote work is negotiable for this position!

Responsibilities
Research, design, and implement novel algorithms in the emerging area of artificial humans.
Efficiently design and conduct experiments to validate these algorithms with respect to product goals.
Collaborate with other researchers, developers, and the product team to take research ideas into well-thought-out product features.
Help with collection and curation of data, train deep learning models, and optimize them for deployment.
Be a champion of engineering excellence in ML research and propose systematic changes to achieve it.

Requirements
Master’s or Ph.D. in Computer Vision, Computer Graphics, Machine Learning or a related field OR equivalent practical experience and training
Ability to write efficient, clean, and reusable code in Python and/or C++.
Knowledge of professional software engineering practices including coding standards, code reviews, version control, and testing.
Prior experience in developing a product based on machine learning research or equivalent contributions to an open-source project is a huge plus.
Fluent in one of the popular Deep Learning frameworks such as Pytorch or Tensorflow

A Little Extra!
Deep knowledge and hands on expertise in at least one of these areas:
Modeling, analyzing, and synthesizing human emotions, behavior, expressions, or gestures
Geometric computer vision, object or scene understanding, multi-view geometry
Capture, estimation, and tracking of human facial expressions or body shape & pose
Generative modeling for images and videos, human face and gesture modeling, neural rendering, or related techniques
Strong publications record at top-tier research venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI or SIGGRAPH

Lab Summary
We are NEON, a subsidiary of Samsung dedicated to creating Artificial Humans who interact with you in ways indistinguishable from the real world. Our NEONs (Neo humaNs) draw inspiration from the most natural of interfaces: interaction with another human being. Bringing together a world-class R&D team of researchers, developers, and engineers, that are building production technology at the cutting edge of artificial intelligence, machine learning, real-time computing, conversational agents, computer graphics, design, and more.

NEONs hold the potential to advance our digital world while preserving the elements of human interaction that are meaningful to all of us. If you share that dream – if you want to make the visions you saw in Her, Blade Runner, and more into tangible reality – and are passionate about taking such ideas into handcrafted renderings, we would love to hear from you!

Position Summary
We are seeking collaborative and result-oriented research engineers with both strong experience and a keen interest in taking fundamental research into new product innovation. We expect our machine learning engineers to understand state-of-the-art research and apply it to solve deep technical challenges by distilling research insights into application. As part of our team, you will both conduct experiments and play a key role in developing and scaling the technology for a wide user base. Our team is based in Mountain View, California. However, remote work is negotiable for this position!

Responsibilities
Design and implement novel algorithms in the emerging area of artificial humans.
Efficiently design and conduct experiments to validate these algorithms as it applies to product goals.
Collaborate with researchers, other developers, and the product team to take research ideas into well-thought-out product features.
Collect and curate training data, train deep learning models, and optimize them for deployment.
Be a champion of engineering excellence in ML research and propose systematic changes to achieve it.

Requirements
Master’s or Ph.D. (in Computer Science or a related field) or equivalent industry experience with domain expertise in Computer Vision, Computer Graphics, High-Performance Computing (HPC), NLP, or Machine Learning.
Ability to write efficient, clean, and reusable code in Python and/or C++.
Knowledge of professional software engineering practices including coding standards, code reviews, version control, and testing.
Prior experience in developing a product based on machine learning research or equivalent contributions to an open-source project is a huge plus.
Fluent in one of the popular Deep Learning frameworks such as Pytorch or TensorFlow

A Little Extra!
Hands-on expertise in one or more of these areas:
Modeling, analyzing, and synthesizing human emotions, behavior, expressions, or gestures
Geometric computer vision, object or scene understanding, multi-view geometry
Capture, estimation, and tracking of human facial expressions or body shape & pose
Generative modeling for images and videos, human face and gesture modeling, neural rendering, or related techniques
Deep learning model optimization techniques such as, model distillation or TensorRT

Lab Summary
We are NEON, a subsidiary of Samsung dedicated to creating Artificial Humans who interact with you in ways indistinguishable from the real world. Our NEONs (Neo humaNs) draw inspiration from the most natural of interfaces: interaction with another human being. Bringing together a world-class R&D team of researchers, developers, and engineers, that are building production technology at the cutting edge of artificial intelligence, machine learning, real-time computing, conversational agents, computer graphics, design, and more.

NEONs hold the potential to advance our digital world while preserving the elements of human interaction that are meaningful to all of us. If you share that dream – if you want to make the visions you saw in Her, Blade Runner, and more into tangible reality – and are passionate about taking such ideas into handcrafted renderings, we would love to hear from you!

Position Summary
We are seeking collaborative and exploration-minded researchers with both strong experience and a keen interest in taking fundamental research into new product innovation. We expect our researchers to understand the state of the art, and the push past that boundary by working together to distill and apply insights into application. As part of our team, you will both guide research and play a key role in developing and scaling the technology for a wide user base. Our team is based in Mountain View, California. However, remote work is negotiable for this position!

Responsibilities
Research, design, and develop novel algorithms in the emerging area of artificial humans.
Define the success metric and conduct experiments to validate these algorithms in a production environment.
Work with engineering and product leaders to help identify and prioritize new research opportunities.
Collaborate with world-class research institutes inside and outside Samsung to advance the state of the art in the field.
Share your research with the community in the form of patents and publications at top-tier venues.

Requirements
Ph.D. in Computer Graphics, Computer Vision, Machine Learning or a related field or equivalent practical experience and training
Deep knowledge and hands on expertise in at least one of these areas:
Modeling, analyzing, and synthesizing human emotions, behavior, expressions, or gestures
Capture, estimation, and tracking of human facial expressions or body shape & pose
Geometric computer vision, object or scene understanding, multi-view geometry
Generative modeling for images and videos, human face and gesture modeling, neural rendering, or related techniques
Strong publications record at top-tier research venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI or SIGGRAPH
Ability to write efficient, clean, and reusable code in Python
Fluent in one of the popular Deep Learning frameworks such as Pytorch or Tensorflow

A Little Extra!
Prior experience in commercializing machine learning research into a product.
Ability to write efficient and clean code in C++