AmazonPosted 6d ago

Applied Scientist - Amazon Robotics, Amazon Robotics - Vulcan Stow

Applied Scientist - Amazon Robotics, Amazon Robotics - Vulcan Stow at Amazon scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$143k-$193k

AI in this role

Develop learned controllers and manipulation behaviors using machine learning and reinforcement learning for physical robots in fulfillment centers.

pythonreinforcement-learning

machine-learningmotion-planningroboticsreinforcement-learningbehavior-cloning

Our team in Amazon Robotics builds robotic systems that perform contact-rich manipulation tasks safely and reliably in complex, unstructured environments — at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning. We learn from real-world data at a scale that few teams in robotics can access.

We are seeking an Applied Scientist to join our Motion Behaviors team. You will drive the development of learned controllers and manipulation behaviors, applying techniques like reinforcement learning and behavior cloning to robots operating in Amazon fulfillment centers. These problems remain unsolved at scale: our robots must improve continuously in environments where simulation alone is insufficient. You will make principled decisions about when learned approaches should replace engineered solutions, and how to select behaviors based on estimated risk. You will collaborate across disciplines and leverage rich operational data to continuously improve system performance.

Key job responsibilities
• Develop learned controllers and manipulation behaviors, from research prototyping through deployment on production robots.
• Research, design, and implement motion planning, control, and decision-making algorithms that improve the performance of deployed systems.
• Design and deploy learning pipelines that take policies from simulation training to reliable, real-time execution on physical robots.
• Develop models that predict manipulation outcomes and inform behavior selection under uncertainty.
• Leverage operational data from deployed systems to systematically identify failure modes and drive policy improvements.
• Represent Amazon in academia through publications and scientific presentations.

A day in the life
Amazon offers a full range of benefits that assist you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic qualifications

- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience training reinforcement learning or imitation learning policies for manipulation or robot control problems
- Strong background in reinforcement learning, including reward design and training at scale in simulation

Preferred qualifications

- Experience in professional software development
- Experience with sim-to-real transfer (domain randomization, system identification, etc.), including transferring learned policies onto physical robots.
- Familiarity with learned dynamics or world models for manipulation

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine LearningMotion PlanningRoboticsReinforcement LearningBehavior CloningPython

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where motion planning was part of your work. What did you do?
Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where reinforcement learning was part of your work. What did you do?
Tell me about a project where behavior cloning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine Learning, Motion Planning, Robotics, Reinforcement Learning, and Behavior Cloning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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