Job Board

Would you like to build energy technology solutions to help industries reduce their greenhouse gas emissions?

Who we are

The global goal of achieving carbon neutrality to minimize climate change impacts is accelerating. At Avitas Systems, a Baker Hughes venture, we build AI cloud solutions to help industries understand and reduce their greenhouse gas emissions. We research, develop, and deploy advanced data analytics, robotics, and computer vision technologies that are also used for safe, efficient industrial asset visual inspection and integrity management.

What your role will involve

You will apply your strong computer vision and data science expertise and proven industry experience to develop deep learning and advanced algorithms to make an impact across multiple product lines in a fast-paced environment where rapid prototyping and experimentation are prized.

As a Staff Computer Vision and Data Scientist, you will be responsible for:
• Researching, conceiving, designing, prototyping, implementing, and improving deep learning or other machine learning algorithms that analyze structured and unstructured data such as time series, IR/RGB Ground/Drone/Satellite images and videos
• Working closely with other data scientists and analytics engineers to propose creative ideas, develop production code, and support team members
• Communicating effectively with technical experts, business managers, and customers

Fuel your passion

To be successful in this role you will:

• Have a Master’s or Ph.D. with specific focus on machine learning, computer vision, advanced data analytics or closely related quantitative discipline
• Have proven experience in using well-established supervised and unsupervised machine learning or computer vision methods for large industry-strength data analysis problems
• Be fluent in Python, and with frameworks such as PyTorch and TensorFlow

Great to have:
• Up to date with industry best practices for production-grade computer vision and machine learning systems
• Experience with delivery of analytics driven information solutions / SaaS
• Experience with Oil and Gas industry

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
• Working remotely – work from home, from the office in Boston, or any balance that helps you being productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical, dental and vision care options
• Safety net of life insurance and disability programs
• Generous 401K company match program, company stock purchasing plan and other financial benefits
• Paid maternity/paternity leave
• Additional elected or voluntary benefits

Intelligent Automation, now a BlueHalo company, has an open full-time position for a Research Scientist or a Senior/Lead Research Scientist (based on education & experience) in computer vision, machine learning, and geospatial analytics. We are looking for an outstanding self-motivated researcher with a degree in Electrical Engineering, Computer Science or related field. You will be working with the multi-disciplinary team of scientists and engineers to conduct R&D in the fields of video analytics, machine learning, remote sensing, robotics perception and AI.

We have active research and development projects where we design, integrate, test, and deploy state-of-the-art systems for a range of applications, including image and video analytics, artificial intelligence, geospatial analytics, perception for autonomous systems, healthcare, training, and simulation.

The desired candidate should have a strong experience in computer vision particularly in the areas of deep learning, object detection, tracking, geospatial analysis, remote sensing, segmentation, cross-modality inference, self-supervised learning, and robotic vision. A solid background in programming is important.

US Citizenship or US Permanent Residency required

JOB DUTIES
Conduct research and development in the area of computer vision, machine learning and/or geospatial analysis
Design, implement, and integrate computer vision and machine learning algorithms and prototypes
Interact with and support multiple research teams

REQUIRED EXPERIENCE & EDUCATION
Bachelor, Masters or Doctorate degree in computer science, electrical engineering, computer engineering, mathematics or another related field

DESIRED SKILLS
Proficiency in Python, C++
Creativity and problem-solving skills
Minimum 2 years of experience with computer vision or machine learning techniques
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.

ObjectVideo Labs, a subsidiary of Alarm.com is looking for a Research Scientist to join our growing R&D team. 

Contribute to cutting-edge, intelligent video analytics research and push the frontiers of smart home applications. Invent, improve, and customize state-of-the-art techniques in computer vision, machine learning, deep learning, and edge computing. Research novel ideas to solve real-life use cases. Participate in developing and engineering these ideas into functioning modules. These modules will be integrated into the existing OVL intelligent video analytics ecosystems and Alarm.com smart home products to be used by millions of users.

Our research group is growing rapidly. The successful candidate will have ample opportunities to research creative ideas and complete complex projects. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.

The successful candidate must be conversant with the latest development in deep learning for visual recognition and video analytics. Knowledge and experience in deep model optimization for edge inference and training is a plus. Areas of interest include but are not limited to:

object classification/detection/reidentification;
single/multi-camera object tracking and association;
human pose estimation and gesture recognition;
activity classification/detection/recognition;
3D modeling and reconstruction;
semantic/instance/panoptic segmentation;
feature extraction and matching; face detection/verification/recognition;
image and video synthesis;
image denoising and quality improvement;
deep embedding learning;
adversarial learning such as generative adversarial networks.

Candidate Profile

MS in Computer Science/Engineering, Electrical Engineering, or equivalent experience; PhD preferred.
Some work experience in a relevant field.
Solid research background and experience in computer vision, machine learning, deep learning
Current knowledge of computer vision literature. Some publications preferred.
Excellent written and oral communication skills also required.

ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, gym subsidy, education assistance program, and in-suite bike racks and showers.

Visit our website at www.objectvideolabs.com. 

ObjectVideo Labs is an Equal Opportunity Employer.  

The University of Veterinary Medicine Vienna (Vetmeduni), Clinical Unit for Herd Health Management in collaboration with the Precision Livestock Farming Hub is looking for a PhD student working on „Image analyses for predicting parturition in cows and pigs” Deadline for applications: 15.05.2022. Please find the detailed job offer here: https://www.vetmeduni.ac.at/fileadmin/v/z/mitteilungsblatt/stellen/2021…
Vetmeduni Vienna works to safeguard the health of animals in Austria through its teaching and research activities and through the services it offers. These tasks represent our contribution to keeping people and their animal companions healthy and to ensuring the production of healthy food.

A post-doctoral fellowships (PDF) position in the field of machine learning/computational biology is available in the School of Biomedical Engineering and Department of Pathology and Laboratory Medicine at the University of British Columbia/Vancouver General Hospital. The incumbents will join an interdisciplinary team working to establish a program on machine learning applications in pathology and genomics. Candidates are expected to have extensive experience in one or more of the following areas: diverse areas of machine learning and statistics especially deep neural networks, statistics, and image processing. The candidate will play an important role in the project team, including authoring grants, conducting large-scale international projects, managing collaborations, disseminating research findings, and assisting in managing junior lab members. Organizational Status: The successful candidate will report to the Principal Investigator (Director of AI Research at OVCARE, Dr. Ali Bashashati).

The Computer Vision Laboratory at Ryerson University is looking for a Postdoctoral Fellow in the broad areas of computer vision and machine learning/deep learning. The ideal candidate should have a Ph.D. in a related area with demonstrated ability to conduct high-quality research in computer vision and machine learning, and have a track record of publications in top venues. The position is for 2 years with a possibility for renewal. Please refer to the website for details: https://www.cs.ryerson.ca/~wangcs/jobs.html

Pixelz Inc is the world leader in e-commerce image photography post-processing. We are constantly growing and innovating to provide our customers with best in class service. Part of this success is thanks to the cutting edge R&D team. There are really two sides to R&D: one is making algorithms with outstanding performance, the other is making these algorithms work efficiently in production. Thus the R&D team is now looking for a scientist to make cutting edge algorithms.

The role has a single objective: (create new algorithms or improve existing ones to) automate our operations and enable new products offerings.
If you are a scientist with a curious and entrepreneurial mindset, someone who is here to beat the competition, not in Vietnam but in the world, someone who is focused on the objective and on helping the company, then please, apply!

In return you will have a chance to create an actual product facing end users, enjoy absolutely crazy challenges such as reaching a precision of 99.8% or having pixel level quality on 40MPx images or developing crazy algorithms without AI! Because, yes, computer vision is not just about AI.

You will work with a friendly team, state of the art algorithms and beast servers. Pixelz also has a generous vacation policy, friendly work culture and atmosphere and we have a yearly summit to exchange knowledge, experience and plan for the next year.

And because we are creative at heart, you don't have to apply with a resume if you don't want to. Just send me a one page letter explaining how you are confident that you could solve such a problem. We are open to all experience profiles as the years don't matter as much as what you do with them. So just make it impressive, provide examples of your personal achievements. And, maybe, join our talented team!

The Intelligent Robotics Lab (IRL) in the School of Computer Science at the University of Birmingham (UoB) is seeking a talented Research Fellow (=Post Doc) to work on the South Korean IITP funded project “Visual common sense through self-supervised learning for restoration of invisible parts in images”. The overarching aim of the project concerns the development of a new form of artificial intelligence system to understand the static and dynamic properties of objects and humans in various images, and the relationship between them, and to represent them through visual common sense. As part of the program, you will be working on developing state-of-the-art algorithms based on multiple computer vision and deep learning methods such as self-supervised learning framework, object pose estimation and segmentation, human pose estimation, and human attribute recognition. Familiarity with existing methods from these domains, such as domain adaptation and contrastive learning is desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able to contribute to them will also be considered. This project has a strong emphasis on applications, therefore experience, and appetite to face the challenge of applying learning algorithms on various natural in the wild images and video is therefore required.

We will trust you:
- To design deep/machine learning models to estimation object/human poses
- To design deep/machine learning models to estimation human attributes
- To evaluate the developed models and publish the results
- To integrate the developed models with the platform developed by KETI
- To attend project meetings
- To submit publications to refereed journals and conferences
- To assist with the analysis of data
- To ensure the validity and reliability of data at all times
- To maintain accurate and complete records of all findings

You will need to have:
- First degree in Computer Science, Mathematics or electrical engineering and normally, a PhD (or close to completing) in a relevant subject, including Computer Vision, Deep Learning and Machine Learning.
- Significant contributions made to world-class research in one or more of the above topics, experience in writing peer-reviewed papers for leading journals and conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, BMVC, TPAMI, TIP, etc).
- Proficiency in mathematical techniques relevant to deep learning
- Practical experience with design of deep learning models for object recognition, detection, and segmentation
- Practical experience with deep learning libraries (e.g., PyTorch, TensorFlow)
- High-level analytical capability and computational skills in Python or C++

Closing date: 30 April, 2022

We solicit applications for a postdoc opening to work at the intersection of artificial and biological vision.

The successful candidate will work together with Prof. Gemma Roig (focus: computer vision) from Goethe University Frankfurt and Prof. Radoslaw Cichy (focus: biological vision) from the Freie-Universität Berlin. We have established a long-lasting and successful collaborative effort enabling flow and exchange of ideas between both our labs with the goal of combining knowledge from the two domains, in an inspiring, inclusive, diverse and multidisciplinary environment. This has also resulted in several joint publications in both AI and bio venues (e.g. Dwivedi et al. ECCV19, PLoSCompBiol 2020, Graumann et al. NatHumanBehav 2021, etc.), as well as the Algonauts project in collaboration with MIT.

The topic of research of the position is open. The successful candidate will have the opportunity to develop and contribute their own novel ideas to bring together artificial and biological systems in an innovative manner. This can include computational and/or experimental work in humans. The postdoc will also be encouraged to interact and participate in projects with other members of both labs, including the Algonauts project together with MIT, as well as to supervise students.

The duration of the position is for about 2 years, starting as soon as possible. There is no obligation to teach but there is the opportunity to give courses an BSc/MSc level if desired.

The position will involve:
-Developing cutting-edge research work on computational models of human visual cognition and artificial intelligence.
-Linking AI models to brain data, including functional MRI (3T, 7T), MEG and EEG, and behavior
-Possibility to record new brain data (fMRI, EEG)
-The outcome of the research pursued is expected to be published in top tier conferences and journals.

Key requirements for the position:
- PhD in Computer Science, applied mathematics, computational neuroscience related fields.
- Strong knowledge in machine learning (deep learning, RNN, LSTMs, supervised learning, self-supervised learning, etc.)
- Excellent programming skills in python, and extensive experience in Tensorflow, pyTorch or related libraries.
- Knowledge of high-performance distributed computing with GPUs.
- At least two publications in tier 1 conferences or journals as first author in related topics to computer science and cognitive computational neuroscience.
- Basic knowledge and high motivation to learn about computational neuroscience and cognitive science.
- Fluent in English (writing, speaking, oral)

Self-motivated candidates with a hands-on, proactive approach and problem-solving skills are strongly encouraged to apply.

Location:
The position is officially affiliated at Centre for multi-scale modelling, analysis and simulation of biological processes at the Frankfurt Institute for Advance Studies, as well as the Goethe University Frankfurt. There will also be the option for research visits to Freie-Universität Berlin. Frankfurt is a very vibrant, open and international city. It is very well connected to the world and full of research institutions dedicated to biology, neuroscience and medicine, which makes it a perfect place for networking and collaborating with scientist of different backgrounds.

Application Instructions:
Applicants are asked to send their documents (1-page motivational letter, CV, 2 publications, diploma and certificates) to Gemma Roig at roig@cs.uni-frankfurt.de in electronic form. Please include in the subject [postdoc]. Interviews will be held in Frankfurt or conducted electronically.

Who We Are

Motion2AI is a fast-growing startup that offers AI platforms for warehouse fleets by providing services of safety, monitoring, optimization, and autonomy. The ecosystem supports manned labor and robots seamlessly, providing practical and scalable solutions for warehouse operations.

Our team has decades of experience from places like Google, Naver, Zippy (Acquired by Cruise), DAQRI, and CJ Logistics. Our advisors come from the top-tier logistics companies such as UPS and DHL.

The role and responsibilities

Motion2AI is looking for a world-class Computer Vision Engineer who will be responsible for innovating and building perception algorithms and pipelines using massive sensor and logistics data acquired from the real-world environments. This role reports to the Head of Machine Learning, and will work closely with CEO and CTO.

Requirements

A BS or MS in CS or related technical field. An equivalent amount of experience is also welcome
Solid experience in computer vision (e.g. object detection, semantic segmentation, 3D analysis)
Solid experience in machine learning libraries such as Tensorflow, Pytorch
Solid programming and proficient in C++ and/or Python.
Team player with good communication skills
Attentive to detail and strive for engineering excellence.
Optional but big plus

Experience in robotics
Experience in Nvidia TensorRT/DeepStream

We solicit applications for a postdoc opening to work at the intersection of artificial and biological vision.

The successful candidate will work together with Prof. Gemma Roig (focus: computer vision) from Goethe University Frankfurt and Prof. Radoslaw Cichy (focus: biological vision) from the Freie-Universität Berlin. We have established a long-lasting and successful collaborative effort enabling flow and exchange of ideas between both our labs with the goal of combining knowledge from the two domains, in an inspiring, inclusive, diverse and multidisciplinary environment. This has also resulted in several joint publications in both AI and bio venues (e.g. Dwivedi et al. ECCV19, PLoSCompBiol 2020, Graumann et al. NatHumanBehav 2021, etc.), as well as the Algonauts project in collaboration with MIT.

The topic of research of the position is open. The successful candidate will have the opportunity to develop and contribute their own novel ideas to bring together artificial and biological systems in an innovative manner. This can include computational and/or experimental work in humans. The postdoc will also be encouraged to interact and participate in projects with other members of both labs, including the Algonauts project together with MIT, as well as to supervise students.

The duration of the position is for about 2 years, starting as soon as possible. There is no obligation to teach but there is the opportunity to give courses an BSc/MSc level if desired.

The position will involve:

-Developing cutting-edge research work on computational models of human visual cognition and artificial intelligence.

-Linking AI models to brain data, including functional MRI (3T, 7T), MEG and EEG, and behavior

-Possibility to record new brain data (fMRI, EEG)

-The outcome of the research pursued is expected to be published in top tier conferences and journals.

Key requirements for the position:

- PhD in Computer Science, applied mathematics, computational neuroscience related fields.

- Strong knowledge in machine learning (deep learning, RNN, LSTMs, supervised learning, self-supervised learning, etc.)

- Excellent programming skills in python, and extensive experience in Tensorflow, pyTorch or related libraries.

- Knowledge of high-performance distributed computing with GPUs.

- At least two publications in tier 1 conferences or journals as first author in related topics to computer science and cognitive computational neuroscience.

- Basic knowledge and high motivation to learn about computational neuroscience and cognitive science.

- Fluent in English (writing, speaking, oral)

Self-motivated candidates with a hands-on, proactive approach and problem-solving skills are strongly encouraged to apply.

Location:

The position is officially affiliated at Centre for multi-scale modelling, analysis and simulation of biological processes at the Frankfurt Institute for Advance Studies, as well as the Goethe University Frankfurt. There will also be the option for research visits to Freie-Universität Berlin. Frankfurt is a very vibrant, open and international city. It is very well connected to the world and full of research institutions dedicated to biology, neuroscience and medicine, which makes it a perfect place for networking and collaborating with scientist of different backgrounds.

Application Instructions:

Applicants are asked to send their documents (1-page motivational letter, CV, 2 publications, diploma and certificates) to Gemma Roig at roig@cs.uni-frankfurt.de in electronic form. Please include in the subject [postdoc]. Interviews will be held in Frankfurt or conducted electronically.

Do you love Machine Learning research and its application for Sustainability Goals? We are hiring two postdoc research fellows at the Embodied AI Research Cluster in collaborations with machine learning/AI experts at national and international university partners. Positions are for 3 years in sunny Brisbane. You will be a part of wonderful multidisciplinary group with a strong focus on diversity and inclusion.

These positions have a focus on developing and publishing fundamental ML algorithms with a great balance of impact driven science, publication and mentorship. Some of the perks: 3-year fully funded, $5000 computer, $5000 p.a. travel budget, $5000 p.a. for ECRs’ professional learning and development. A generous relocation budget will be provided to the successful candidate if required.

Graph Representation Learning:

https://jobs.csiro.au/job/Brisbane%2C-QLD-CSIRO-Postdoctoral-Fellowship…

Your research will focus on machine learning algorithms such as graph neural networks that combine multiple data sources with domain knowledge and constraints to capture dynamic interactions between multiple actors and predict probability of outcomes given all the variables.

Multi-Agent Lifelong Learning:

https://jobs.csiro.au/job/Brisbane,-QLD-CSIRO-Postdoctoral-Fellowship-i…

Your research is to develop new machine learning methods for a fleet of agents that can cope with the persistent changes over the course of their lifetime (i.e. Incremental Learning). The fleet update their policy and shared understanding of their environments hence require new ways of multi-agent lifelong learning.

Applications Close
1 May 2022, 11:00pm AEST

We are looking for a Postdoctoral Fellow with a strong expertise in Machine Learning and Natural Language Processing. The selected candidate will develop innovative scientific research by strengthening and complementing the already ongoing research activities in the framework of cross modal retrieval and visual question answering for Earth observation. In detail, the main focus of the postdoctoral researcher will be to provide solutions to the challenges on:
i) scene understanding from multi-modal data (different modalities of satellite images as well as textual data)
ii) cross-modal (text image) search and retrieval
iii) and visual question answering over large amounts of satellite data for Earth observation with minimum supervision
Requirements:
- Successfully completed university degree (Master, Diplom or equivalent) and PhD degree in computer science, engineering, or mathematics;
- Research experience in Natural Language Processing and Machine Learning;
- Excellent programming skills (e.g., python) with experience using deep learning libraries
- Strong communication, presentation, and writing skills;
- Excellent English oral and written communication skills.

Who We Are

Motion2AI is a fast-growing startup that offers AI platforms for warehouse fleets by providing services of safety, monitoring, optimization, and autonomy. The ecosystem supports manned labor and robots seamlessly, providing practical and scalable solutions for warehouse operations.

Our team has decades of experience from places like Google, Naver, Zippy (Acquired by Cruise), DAQRI, and CJ Logistics. Our advisors come from the top-tier logistics companies such as UPS and DHL.

The role and responsibilities

Motion2AI is looking for a Computer Vision Engineer who will be responsible for innovating and building perception algorithms and pipelines using massive sensor and logistics data acquired from the real-world environments. This role reports to the Head of Machine Learning, and will work closely with CEO and CTO.

Requirements

A MS or PhD in CS or related technical field. An equivalent amount of experience is also welcome
- Solid experience in computer vision (e.g. object detection, semantic segmentation, 3D analysis)
- Solid experience in machine learning libraries such as Tensorflow, Pytorch
- Solid programming and proficient in C++ and/or Python.
- Team player with good communication skills
- Attentive to detail and strive for engineering excellence.

Optional but big plus

- Experience in robotics
- Experience in Nvidia TensorRT/DeepStream

What You’ll Get To Do:

Second Spectrum is looking for a production-oriented Computer Vision Engineer to design, develop and implement computer vision and machine learning cutting-edge technologies to ensure our market-leading position in sports player tracking and broadcast solutions.

- Design, prototype, implement and test software and computer vision & machine learning algorithms in Python and C++.
- Develop and optimize real-time and high-accuracy sports solutions with modern CV: object detection, recognition and tracking, camera calibration, 3D reconstruction, etc.
- Manage interdisciplinary projects in collaboration with different groups within the company.
- Leverage Amazon Web Services (EC2 and S3) to run algorithms on a large number of servers in the cloud.
- Continuously learn new applications and apply learnings to new challenges.

Our Software Stack:

- Languages for scientific computing: Python 3, modern C++, Rust
- Frameworks: OpenCV, CUDA, FFmpeg, Tensorflow, NumPy, scikit-learn
- Codebase: Git with GitLab
- Cloud services: AWS EC2 and S3

Requirements
What You Have:

- 2+ years of industrial experience in the full development life cycle: design, prototype, implementation, testing, and performance evaluation of software
- 2+ years of production experience in computer vision and modern machine learning algorithms, such as deep learning

We are seeking to fill a postdoctoral position at the MIT Brain and Cognitive Science Department as part of a multidisciplinary project that aims at translating discoveries from human visual perception into machine deployable strategies, in the domain of face and body recognition in low quality imagery. This project is funded by IARPA (Intelligence Advanced Research Projects Activity, www.iarpa.gov) and will take place at the Sinha laboratory at MIT (www.sinhalab.mit.edu) under the supervision of Prof. Pawan Sinha and Dr. Xavier Boix (www.mit.edu/~xboix).

RESEARCH TOPIC: There is a big gap between machine and biological learning in terms of the ability to recognize people in a number of degraded conditions (eg. at a distance and in novel viewpoints and illumination conditions). The postdoctoral trainee’s role in this project will be to develop a computationally-grounded understanding of the principles that allow for the human robust recognition and translate this understanding into algorithms. The postdoctoral trainee will need to collaborate and interact with other team members who experiment with human subjects to gain new insights about the strategies used by humans.

REQUIRED: a Ph.D. in computer science, neuroscience, cognitive science, or related field by the start date; expertise in computer vision, deep learning, and computational neuroscience.

MORE INFO: Questions and inquires about the position may be directed to Dr. Xavier Boix (xboix@mit.edu)

APPLY: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetail…

Please include a CV, cover letter, research statement, and contact information for three potential letter writers (which may be included as a single pdf).

Dr Hakan Bilen (https://groups.inf.ed.ac.uk/vico/), School of Informatics, University of Edinburgh is looking for PhD candidates in computer vision and machine learning with a particular focus on weakly- and un-supervised learning.

We are looking for creative and motivated applicants with, or expected to obtain soon, a MSc degree in a relevant discipline, including Informatics, Computer Science, Electrical Engineering but not limited to. Background in machine learning and computer vision, and good programming skills (in python) are required. Research experience and publication in computer vision and machine learning venues are desirable.

If interested in the position, please provide a CV, a personal statement detailing your research interests and reasons for applying (max 1 page), marks for your degree(s) and an email address for one academic reference. The application deadline is April 19th 2022 . All documents should be in electronic format and sent to hbilen@ed.ac.uk asap.

Women candidates and candidates from underrepresented backgrounds are especially encouraged to apply.

Institute for Databilisty Science, Osaka University is opening a few postdoctoral positions for computer vision and pattern recognition researchers. The topics include:

1. Video semantic analysis and generation: We are working on deep video comprehension as a part of CREST FakeMedia Project. This can involve un-/semi-supervised learning for topic modeling in video for semantic analysis and video generation by compiling some clips to convey specific sentiments, emotions, ideas, etc. We invite applications from researchers who are interested especially in image and video comprehension.
2. Computer vision and pattern recognition in general: We are also working on interdisciplinary projects with collaborating researchers in fields, such as medical, humanity, physics, etc. We are looking for researchers who can work on computer vision and pattern recognition-related projects. You can find some example projects here.

We are encouraging all our researchers/students to submit papers to top conferences like CVPR, ICCV, ECCV, ICLR, etc., and we welcome researchers who can lead individual projects from the very beginning of their lifecycle (i.e., project proposals).

Software is eating the world - and AI is eating software. Just like the last two decades have seen software penetrate every industry and use case - the next two decades will see AI touch everything we do. And as more and more of the mission-critical systems that run our lives are entrusted to algorithms, reliability and safety become a real concern.  This is where CalypsoAI comes in. At CalypsoAI we build tools for trusted AI.

We are growing our engineering team and are looking for an ambitious and self-driven Software Engineer to join us. As a Software Engineer in Calypso AI, you will be responsible for designing and building the backend architecture for both new and existing products. We put a strong focus on collaboration and quality throughout our stack. The work is technically challenging and highly rewarding. Your work will be crucial to the success of our business, and you will have the opportunity to grow your career with us!

Duties and Responsibilities

Develop well-designed, scalable, and robust software to a high-quality standard
Collaborate with the team, participate in design sessions, code reviews
Execute full software development life cycle (SDLC)
Develop flowcharts, layouts and documentation to identify requirements and solutions
Produce specifications and determine operational feasibility
Integrate software components into a fully functional software system
Develop software verification plans and quality assurance procedures
Document and maintain software functionality
Troubleshoot, debug and upgrade existing systems
Keep abreast of the latest and emerging technologies
Attend training and educations

Required Knowledge, Skills, and Abilities

Minimum 2 years of Python development industry experience
Familiarity developing with web frameworks, such as flask
Configuring commercial software solutions to customer databases, platforms, and toolkits
Working with end-users to understand workflows, requirements, and feature requests
Critical thinking & structured problem solving
Debugging complex, multi-service applications
Working as part of a team
Time management
Inter/intra-team communication

Why join us...

To start with: we at CalypsoAI are building the first-ever security for AI solution!
If that's not enough: We are a fast-growing startup meaning we have great opportunities to grow within the company!
Endless opportunities to learn from our inspirational, talented team members
You will never be bored at work again if you join us!

AI-powered systems are increasingly being used to replace or augment human decision-making across a broad range of industries. These systems already impact many aspects of our lives and will continue to grow in their influence over the next two decades. Therefore, ensuring the reliability, safety, security, fairness, and understandability of these systems is critical. To date, tools to ensure that AI-powered systems meet these standards have lagged behind the tools used to develop them. This has led to two common outcomes: deployment of AI-powered systems without proper verification and validation, or conversely, failure to deploy a system after costly development time and resources due to a lack of trust in the system by stakeholders. 

This is where CalypsoAI comes in. We are building a suite of products and tools to facilitate the deployment of trustworthy AI by focusing on rigorous verification and validation testing.

We are looking for a Data Scientist to join our growing team. As a key member of the Data Science team, you will work alongside other data scientists, software engineers, and product owners to research, design, and develop new features that support the development of trustworthy AI for our customers. In this role, you will be required to read and contribute to cutting-edge developments in adversarial machine learning, ML bias and fairness, model staleness, and many other fascinating areas of research. You will read the latest papers and distill their core concept into product features and product direction.

Duties and Responsibilities

Actively extend and improve our core software libraries by writing and reviewing code
Work closely with the engineering team to integrate new features into existing products
Contribute to the research, development, and technical design of new product features
Develop novel tests around the security, reliability, and robustness of ML models
Stay on top of current academic research related to ongoing team projects

Required Knowledge, Skills, and Abilities

Bachelor’s degree in a quantitative field (statistics, economics, computer science, etc.)
Familiarity with software development practices and tools (code review, Git, etc.)
Comfortable with multiple scientific computing libraries (pandas, sklearn, numpy, scipy)
Familiarity with at least one deep learning framework (PyTorch, TensorFlow/Keras)
Python programming experience (open source or product-oriented professional setting)
Practical experience with multiple supervised ML tasks
Excellent interpersonal and communication skills

Preferred Qualifications

Deep experience in at least one area leveraging tabular data (e.g. causal inference, missing data imputation, time series analysis, bayesian statistics, etc.) demonstrated via a publication, thesis (MS or PhD), or public project (code and/or write up).
Practical experience with model lifecycle: development, deployment, and monitoring.
Advanced degree in a quantitative field or relevant professional experience.

Why join us...

To start with: we at CalypsoAI are building the first-ever security for AI solution!
If that's not enough: We are a fast-growing startup meaning we have great opportunities to grow within the company!
Endless opportunities to learn from our inspirational, talented team members
You will never be bored at work again if you join us!

AI-powered systems are increasingly being used to replace or augment human decision-making across a broad range of industries. These systems already impact many aspects of our lives and will continue to grow in their influence over the next two decades. Therefore, ensuring the reliability, safety, security, fairness, and understandability of these systems is critical. To date, tools to ensure that AI-powered systems meet these standards have lagged behind the tools used to develop them. This has led to two common outcomes: deployment of AI-powered systems without proper verification and validation, or conversely, failure to deploy a system after costly development time and resources due to a lack of trust in the system by stakeholders. 

This is where CalypsoAI comes in. We are building a suite of products and tools to facilitate the deployment of trustworthy AI by focusing on rigorous verification and validation testing.

We are looking for a driven, analytical, and highly professional data scientist to help deliver our solutions to customers, and to shape the future of what we build. In this role, you will be part of a team that is responsible for delivering Calypso AI’s solution to customers. We are looking for a data scientist who has a penchant for working closely with enterprise customers, and a desire to deliver outstanding value to them.

YOU WILL …

Work closely with customers to quickly understand and solve their problems and how it relates to overall company success in testing and evaluation.
Be able to take complex problems and break them down into easy-to-understand portions, and communicate them effectively to a given audience, both technical and non-technical.
Communicate clearly and effectively with internal teams (sales, customer success, product, engineering, etc.) and with customers on the performance of Calypso AI solution as well as data science issues.
Provide feedback to internal Calypso AI teams on data science, product, engineering issues, and suggest process and product improvements
Be comfortable with given demonstrations and presentations both internally, and externally to clients and customers.
Be comfortable working across the company, ex: sales, product, leadership, etc.

YOU HAVE…

Experience in some of, but preferably multiple of, the following domains within machine learning:
Computer Vision
Natural Language Processing
Tabular data
Time Series Analysis
Video Analysis
Cybersecurity
Adversarial attacks/testing
Practical programming experience with Python, C++
Experience with:
Tensorflow
PyTorch
Scikit-Learn
Transformers

Nice to Haves:

Preferably with professional experience (4+ years)
Security Clearance
Research experience
Graduate degree in a STEM field
Previous experience in a startup environment

WHY JOIN US...

To start with: we at CalypsoAI are building the first-ever automated 3rd party model validation platform to enable and accelerate AI solutions! We answer critical questions about AI to deliver trust. Our technology ensures organizations can achieve their AI/ ML goals, securely, and in real-world conditions.
If that's not enough: We are a fast-growing startup meaning we have great opportunities to grow within the company!
Endless opportunities to learn from our inspirational, talented team members!
You will never be bored at work again if you join us!

Closing Date:
31 Dec, 2023

Description:

The Medical AI group led by Prof. Hao Chen from The Hong Kong University of Science and Technology is recruiting PhD students, postdoctoral fellows, research assistants, interns, visiting scholars and other research positions. This group is committed to the research and application of cutting-edge technologies in the interdisciplinary field of artificial intelligence and medicine.

Homepage: https://cse.hkust.edu.hk/~jhc/

Recruitment Details

PhD students are mainly for admission in the fall of 2022/spring and fall of 2023, and a full scholarship (about HKD 18,500 per month) will be provided, and those who are particularly outstanding are recommended to apply for the Hong Kong PhD Fellowship Scheme (HKPFS). The amount of the HKPFS is around HKD26,600 per month, plus a travel allowance of HKD13,300 each year. In addition, HKUST gives each awardee a one-time reward of HKD40,000. For more details, please refer to postgraduate admission page: https://cse.hkust.edu.hk/pg/admissions/

Postdoctoral fellows holding a doctorate in medical image analysis, artificial intelligence or computer vision are welcome. The requirements are as follows:
1. Strong programming in deep learning frameworks, e.g., Pytorch, Tensorflow, etc.
2. Experience in medical image analysis or machine learning projects is preferred.
3. Publications in top-tier AI or medical image analysis conferences/journals such as MICCAI, CVPR, TMI, MIA, AAAI, IJCAI, etc, are preferred.
4. Strong self-motivation and curiosity are preferred.

For undergraduate and master students, research positions such as intern and research assistant are also available. A minimum of 3 months is required (remote mode is also acceptable).

How to Apply

Interested candidates are welcome to send their resumes, transcripts and other relevant materials to the email: jhc@ust.hk. Please indicate the application position in the subject of email.

Vimaan is looking for a Machine Learning Scientist to drive the development of foundational machine learning algorithms to power our cutting-edge end-to-end warehouse inventory tracking platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large scale computer vision, deep learning, and other statistical models to build a product that creates a disproportionate value for warehouse industry. The role involves first principle thinking – from creating experiments, prototyping implementations and designing new machine learning algorithms to building for the largest scale. The position will be based in Santa Clara, CA.

Qualifications: The ideal candidate has the following attributes

- Ph.D. and publications in machine learning, AI, applied mathematics, data science, or related technical fields
- Research experience in developing new learning algorithms for one or more of computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models etc., and representational learning with a varied amount of data – from a few samples to a very large dataset.
- Deep mathematical foundations with knowledge of Advanced Linear Algebra, Probability Theory, Topology, Numerical Optimization, Information theory, Graph Theory etc.
- Deep insights into data characteristics and ability to map those to appropriate model architectures
- Strong programming skills and working experience with ML/DL frameworks such as Tensorflow, Pytorch etc.
- Publications in top conferences such as CVPR, NeuRIPS, ICML, ICLR etc is a huge plus.
- Experience working with inputs coming from multiple cameras and input modes is a plus.
- Experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization is a plus
- Highly motivated and passionate individual with a very strong work ethic, ability to work in a team and work independently under supervision and guidance in a matrix management environment

Vimaan is looking to onboard multiple Computer Vision Engineers at its headquarters in Santa Clara to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large scale computer vision and deep learning models to build a product that creates a disproportionate value for warehouse industry. The role involves hands on CV/ML software development and deployment – from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale.

Qualifications:
- MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields or BS with 3+ years experience in Computer Vision/Machine Learning
- Hands on experience in developing new learning algorithms for one or more of computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models etc., and representational learning with a varied amount of data – from a few samples to a very large dataset.
- Knowledge of current DL literature and the mathematical foundations of machine learning
- Ability to train and debug deep learning systems – from defining datasets and evaluation metrics, model training, deployment, failure characterization, and iterative improvement
- Strong programming skills and development experience with python and ML/DL frameworks such as Tensorflow, Pytorch etc.
- Deep insights into data characteristics and ability to map those to appropriate model architectures
- Experience working with inputs coming from multiple cameras and input modes is a plus.
- Experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization is a plus
- Highly motivated and passionate individual with a very strong work ethic, ability to work in a team and work independently under supervision and guidance in a matrix management environment
- Ability to work in a fast paced, high pressure startup environment and adapt to rapidly changing requirements.

Responsibilities:
KLA is seeking a motivated, experienced engineer to join our world-class AI and Modeling Center of Excellence in Ann Arbor, Michigan, USA. This individual will utilize his or her skills in Machine Learning and Artificial Intelligence to develop modeling algorithms to be integrated into KLA’s state of the art inspection platforms.

In this role, you will:
Design, development and implementation of cutting-edge computer vision and image processing algorithms
Rapid prototyping and validation of new machine learning, deep learning and image processing algorithms
Develop end-to-end solutions that are holistic taking into account the system, imaging pipeline, the user experience and the end application requirement
Work in a highly multi-functional organization to drive systems integration of algorithms.
Write robust production quality code.
Bring forward and drive creative ideas, develop production code, and provide support as needed.
Own prototype to production of algorithms

Qualifications:
Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics
2-7 years of work experience required in any of the following: Image Processing, Computational Imaging, Computer Vision, Machine Learning, or Deep Learning
Prior experience with algorithm development in C/C++, Python and object-oriented design in a Linux environment, is a plus
Algorithm prototyping using MATLAB or Python, is preferred
Prior experience with common deep learning frameworks like TensorFlow, Caffe, MatConvnet etc.
Capability to formulate problems into mathematical equations.
Great teammate with excellent written and verbal communication skills.
Ability and willingness to travel worldwide to support demos and projects at customer sites.

What will differentiate you:
Strong understanding of vision related deep learning work like Generative models, semantic segmentation, auto encoders 
Hands on experience solving computer vision challenges
Strong fundamentals in low level image processing algorithms
Appreciation of complex image acquisition systems 

Minimum Qualifications
PhD
Master's Level Degree with 3 years of work experience