ai researcher

Heriot-Watt University

<div>Position Title: Postdoc Researcher (Adjunct Appointment)
Project title: AI Pathologist for Diverse Medical Diagnosis
Position Type: Adjunct Appointment- Contract duration 8 months (can be extended to two year contract)
Start Date: Ideally by Mid-August 2026 
<div>About Heriot-Watt University
</div>Heriot-Watt University (HWU) has five campuses: three in the UK (Edinburgh, Scottish Borders and Orkney), one in Dubai and one in Malaysia. The University offers a highly distinctive range of degree programmes in the specialist areas of science, engineering, design, business, and languages.
With a history dating back to 1821, Heriot-Watt University has established a reputation for world-class teaching and practical, leading-edge research, which has made it one of the top UK universities for business and industry. We connect with industry at every level and develop programmes to match their needs : so employers get work-ready industry-fit graduates.
Heriot-Watt is also Scotland's most international university, boasting the largest international student cohort.
We have an established set of values that help us to nurture innovation and leadership and show our commitment to continuous improvement and development in all our activities. 
<div>About School of Engineering and Physical Sciences
</div>The School of Engineering &amp; Physical Sciences (EPS) is a community of over 340 staff and around 3,000 students across three campuses in Scotland, Dubai and Malaysia. The School is recognised as an international leader in education, research and the application of knowledge to benefit society globally. We are striving to establish ourselves as partners of choice for world leading institutions, consistently delivering an environmentally and financially sustainable growth by aligning to the opportunities and requirements of our modern times to address local and global needs.
Heriot-Watt holds an Institutional Athena Swan Bronze Award, as does the School of Engineering and Physical Sciences, recognising excellence in championing employment of women in the field of science, technology, engineering, and mathematics. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds. 
<div>About our Team
</div>Heriot-Watt University established a campus in Dubai International Academic City (DIAC) in 2005 and moved in 2020 to a state of the art, digitally enabled campus within Dubai Knowledge Park. The Dubai campus now has nearly 4500 students. The School of Engineering and Physical Sciences (EPS) in Heriot-Watt University Dubai offers a range of undergraduate and postgraduate degree programmes in Automotive, Chemical, Mechanical, Energy, Renewable Energy, Electrical and Electronic Engineering, Robotics, Autonomous and Interactive Systems, and Global Sustainability Engineering. 
Project Overview
The AI Pathologist project is an interdisciplinary initiative aimed at developing an advanced AI-driven diagnostic system using 3D medical imaging modalities (CT, MRI, PET) and explainable AI (XAI) techniques to support medical professionals in improving diagnostic accuracy, reducing workload, and enhancing patient outcomes. The Postdoc Researcher will play a key role in implementing system prototypes, managing data pipelines, and supporting the development and validation of AI models in collaboration with clinicians and engineers.
Key Responsibilities
1. AI Model Development &amp; Testing
<ul><li>Assist in developing machine learning and deep learning models for medical imaging analysis.
</li><li>Implement and fine-tune models using PyTorch, TensorFlow, or related frameworks.
</li><li>Run experiments, perform hyperparameter tuning, and maintain organized experiment logs.
</li></ul>2. Medical Imaging Data Management
<ul><li>Support data preprocessing, annotation preparation, and dataset organization.
</li><li>Handle CT, MRI, PET, and histopathology images, ensuring proper anonymization and compliance with ethical guidelines.
</li><li>Collaborate with clinicians to understand imaging structures and diagnostic targets.
</li></ul>3. Explainable AI Implementation
<ul><li>Integrate XAI methods (e.g., Grad-CAM, Guided Backprop, SHAP) into the system.
</li><li>Generate and interpret visual explanations for model outputs.
</li></ul>4. System Prototyping &amp; Software Development
<ul><li>Contribute to the development of the AI Pathologist prototype, including UI/UX, backend integration, and workflow automation.
</li><li>Support deployment of models using Docker, APIs, or cloud environments.
</li></ul>5. Documentation &amp; Reporting
<ul><li>Prepare technical documentation, coding standards, and user guides.
</li><li>Assist in preparing project reports, research papers, and meeting presentations.
</li></ul>6. Collaboration
<ul><li>Work closely with radiologists, pathologists, and clinicians to understand requirements and validate outputs.
</li>Attend project meetings and provide weekly progress updates. 
<li>
</li></ul>Minimum Requirements (Essential)
Education
<ul><li>Master degree or PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Biomedical Engineering, or a related field. 
</li></ul>Technical Skills
<ul><li>Experience with Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn).
</li><li>Understanding of deep learning, CNNs, Capsule Networks, and image processing fundamentals.
</li><li>Basic knowledge of handling medical images (e.g., DICOM).
</li>Familiarity with version control (Git/GitHub). 
<li>
</li></ul>Soft Skills
<ul><li>Strong analytical and problem-solving skills.
</li><li>Good communication and teamwork ability.
</li>Ability to document work clearly and follow research procedures. 
<li>
</li></ul>Preferred Requirements (Highly Desirable)
Technical Skills
<ul><li>Experience with:
<ul><li>3D imaging models (3D CNNs, UNet variants, VNet)
</li><li>Explainable AI tools (Grad-CAM, LIME, SHAP)
</li><li>Medical imaging workflows, PACS systems
</li><li>Docker, APIs, and model deployment
</li><li>Cloud platforms (AWS, Azure, GCP)
</li></ul></li>Experience working on healthcare-related AI projects. 
<li>
</li></ul>Clinical Collaboration
<ul><li>Previous collaboration with hospitals or medical researchers.
</li>Understanding of radiology/pathology imaging interpretation. 
<li>
</li></ul>Other Advantages
<ul><li>Publications or strong project portfolio in computer vision/medical AI.
</li><li>Experience with data annotation tools.
</li>Knowledge of cybersecurity and data governance in healthcare. 
<li>
</li></ul>Heriot-Watt University Dubai is CAA Licensed; therefore, successful candidates will need to provide terminal degrees attested from a UAE institution accredited by CAA. Degrees which are not from a UAE Institution will need to have MoE equivalency. The successful candidate is responsible for getting their degree attestations done.</div>

Postdoctoral Researcher (Adjunct Appointment)

eBay

<div><div>JOB DESCRIPTION
</div><div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
About the team and the role:
eBay, Inc. seeks Applied Researcher I in Portland, OR
What you will accomplish:
Job Duties: Lead the design and implementation of sophisticated algorithms to enhance the selling experience and build user trust. Develop machine learning models and scalable data pipelines to deliver practical, data-driven solutions. Stay informed about the latest advancements in algorithms and machine learning, integrating innovative techniques to improve business metrics and user experience. Collaborate with cross-functional teams to transition research insights into production systems, ensuring scalability and performance. Conduct experiments and analyze data to drive continuous model improvements. Communicate research findings and technical concepts effectively to both technical and non-technical stakeholders. Possess expertise in machine learning and data science, with experience in areas such as Generative AI, NLP, recommendation systems, ranking, fraud detection, or online advertising. Possess proficiency in Python, Java, or similar languages, with experience using ML frameworks like TensorFlow or PyTorch. Utilize familiarity with big data tools such as Hadoop, Spark, and SQL. Partial telecommuting permitted from within a commutable distance.
What you will bring:
Minimum Requirements: Master&rsquo;s degree, or foreign equivalent, in Computer Science, Engineering (any field), or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor&rsquo;s degree, or foreign equivalent, in Computer Science, Engineering (any field) or a closely related field plus five years of experience in the job offered or a related occupation.
Special Skill Requirements:
<ul><li>Experience on working with high-impact LLM applications (2 years)</li>
<li>Designing scalable labeling strategies (human-in-the-loop, weak supervision, and synthetic data generation) with a focus on quality control and bias mitigation (2 years)</li>
<li>Evaluating and fine-tuning vision based foundation models for diverse tasks such as classification, segmentation and detection (2 years)</li>
<li>Developing and optimizing machine learning and deep learning models using PyTorch (2 years)</li>
<li>Experience with working on data pipelines and ETL workflows using SQL and Python (2 years)</li>
<li>Conducting AI research and development involving models such as Convolutional Neural Networks (CNNs) and Transformers (2 years)</li>
<li>Experience with working with large-scale datasets for data processing and model training (2 years)</li>
<li>Applying object-oriented design principles and developing scalable software systems in Python (2 years)</li>
<li>Building and evaluating end-to-end AI systems, from data ingestion to model deployment (2 years)</li>
<li>Using version control systems (Git) and cloud platforms (AWS, GCP) for machine learning development and deployment (2 years)</li>
<li>Implementing containerization using Docker to run isolated services (2 years)</li>
<li>Using CI/CD pipelines with GitHub for software integration and deployment workflows (2 years)</li>
<li>Applying automated labeling techniques to accelerate data generation and model iteration (2 years)</li>
Optimizing models for runtime efficiency, including improvements in latency and memory consumption performance (2 years) 
<li>
 
</li></ul>EOE, including disability/vets.
Must be legally authorized to work in the U.S. without sponsorship.
Additional Details
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Remote roles are not eligible for U.S. visa sponsorship.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
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Applied Researcher 1

Mindrift

<div>
 
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design rigorous Computer Science problems reflecting professional practice;
 </li>
 <li>
 Evaluate AI solutions for correctness, assumptions, and constraints;
 </li>
 <li>
 Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
 </li>
 <li>
 Improve AI reasoning to align with industry-standard logic;
 </li>
 <li>
 Apply structured scoring criteria to multi-step problems;
 </li>
 <li>
 Collaborate with a global community of PhDs to ensure the highest scientific integrity
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Computer Science or related fields.
 </li>
 <li>
 Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.
 </li>
 <li>
 2+ years of professional experience: applied, research, or teaching experience is applicable.
 </li>
 <li>
 Strong written English (C1+)
 </li>
 <li>
 Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $80 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Computer Science Expert with Python Experience - AI Projects on Mindrift

DataAnnotation

<div>
 We are looking for an existing Clinical Researcher to help train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role, you will need to hold an expert level of biology. Other related fields include, but are not limited to: Biology and/or Biochemistry.
 
 
 
 Advantages Of Contracting With Us
 
 
 
 <ul>
 <li>
 You'll be able to choose which projects you want to work on and when
 </li>
 <li>
 You work on your own schedule, on your own computer, from the comfort of your own home
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonus rates available on some projects
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex biology questions and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Understanding of cell biology, genetics, biochemistry, and experimental methods
 </li>
 <li>
 A current, in progress, or completed Master's and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Note
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 
 
 #bio
</div>

Clinical Researcher - AI Trainer

Waymo

<div>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES. NEW YORK CITY, NEW YORK, UNITED STATES. KIRKLAND, WASHINGTON, UNITED STATES
FULL-TIME
AI FOUNDATIONS
4956</div>
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</div><div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and reports to a Principal Research Scientist. 


You will:
<ul>
<li>Research &amp; Develop state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor information from Camera, LiDAR and Radar.</li>
<li>Integrate emerging research from the broader AI community into Waymo&rsquo;s Encoders and Sensor understanding models</li>
<li>Partner with engineering and research teams across Waymo to share recipes, techniques, and best practices to accelerate our collective know-how.</li>
<li>Develop and maintain scalable data pipelines for Training &amp; Eval to process data from multiple sources.</li>
<li>Design and implement evaluation frameworks for perception models.</li>
<li>Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.</li>
<li>Design and implement Perception Modeling solutions to understand LiDAR/Camera/Radar information from autonomous vehicle sensors.</li>
<li>Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical reports and/or publications.</li></ul> 


You have:
<ul>
<li>PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with 4+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models.</li>
<li>Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.</li>
<li>Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches.</li>
<li>A willingness to work with complexity of globally distributed inference infrastructure.</li></ul> 


We prefer:
<ul>
<li>PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning.</li>
<li>Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences.</li>
<li>A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects</li>
<li>Substantial involvement in and contributions to high impact industry AI projects.</li>
<li>Experience in generative models for domains such as world models, images, videos, 3D, using techniques such as diffusion or autoregressive models.</li></ul> 


In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
<ul>
<li>Health, dental, vision, life, disability insurance</li>
<li>Retirement Benefits: 401(k) with company match</li>
<li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li>
<li>Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li>
<li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li>
<li>Baby Bonding Leave: 18 weeks</li>
<li>Holidays: 13 paid days per year</li></ul><div><div> 
<div>
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div>
<div>Salary Range</div>
<div>$251,000&mdash;$310,000 USD</div></div></div></div></div></div></div>

Staff Research Scientist, Perception

<div>
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design original computational STEM problems that simulate real scientific workflows
 </li>
 <li>
 Create problems that require Python programming to solve
 </li>
 <li>
 Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
 </li>
 <li>
 Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
 </li>
 <li>
 Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
 </li>
 <li>
 Document problem statements clearly and provide verified correct answers
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 5+ years of hands-on machine learning experience with proven business impact
 </li>
 <li>
 Portfolio of completed projects and publications showcasing real-world problem-solving
 </li>
 <li>
 Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
 </li>
 <li>
 Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
 </li>
 <li>
 Expert with SQL and database operations for data manipulation and analysis
 </li>
 <li>
 Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
 </li>
 <li>
 Understanding of MLOps practices and model deployment workflows
 </li>
 <li>
 Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
 </li>
 <li>
 Strong written English (C1+)
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $90 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Freelance Machine Learning Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 </li>
 </ul>
</div>

AI Engineer, LIGHT

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