Applied Scientist - Amazon Robotics, Amazon Robotics - Vulcan Stow

Amazon Inc.; Seattle (WA); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

PTO

RSUs

401k Matching

Job summary

Amazon seeks an Applied Scientist for Amazon Robotics in Seattle, focusing on motion behaviors and learned controllers for real-world manipulation in fulfillment centers. You’ll advance RL-based methods, assess when learned policies replace engineered solutions, and collaborate across teams using rich operational data.

The role emphasizes contributions from research to production with strong emphasis on safety, performance, and system reliability in a fast-paced environment.

Qualifications

• PhD or Master’s degree in a relevant field with 4+ years of experience.
• Experience programming in Java, C++, Python or related language.
• Experience with patents or publications at top-tier venues.

Responsibilities

• Develop learned controllers and manipulation behaviors from prototype to production.
• Design and implement motion planning, control, and decision-making algorithms.
• Build learning pipelines from simulation to real-time execution on robots.

Skills

Java

C++

Python

Reinforcement Learning

Machine Learning

Publications

Education

PhD or Master’s degree

Job description

Applied Scientist - Amazon Robotics, Amazon Robotics - Vulcan Stow

Job ID: 10553505 | Amazon.com Services LLC

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

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

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