... Reinforcement Learning, automated cloud optimization, generating strategic insights and ... robotics, operations research, statistics, mathematics or equivalent quantitative field ...
... Reinforcement Learning, automated cloud optimization, generating strategic insights and ... robotics, operations research, statistics, mathematics or equivalent quantitative field ...
... Reinforcement Learning, automated cloud optimization, generating strategic insights and ... robotics, operations research, statistics, mathematics or equivalent quantitative field ...
... Reinforcement Learning, automated cloud optimization, generating strategic insights and ... robotics, operations research, statistics, mathematics or equivalent quantitative field ...
Senior Robotics Research Scientist
$112K - $142K/yr
The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning ...
Senior Robotics Research Scientist
$112K - $142K/yr
The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning ...
Senior Robotics Research Scientist
Seattle, WA · On-site
$192 - $357/hr
The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning ...
New
Senior Robotics Research Scientist
Seattle, WA · On-site
$192 - $357/hr
The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning ...
New
Senior Robotics Research Scientist
Seattle, WA · On-site
$112K - $142K/yr
The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning ...
Senior Robotics Research Scientist
Seattle, WA · On-site
$112K - $142K/yr
The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning ...
Staff Research Scientist - Physical AI / Multimodality
Bellevue, WA · On-site
$236K - $339K/yr
Deep expertise in at least two of the following: representation learning, world models, reinforcement learning, generative modeling, robotics/embodied AI, or scientific ML * Hands-on experience ...
Staff Research Scientist - Physical AI / Multimodality
Bellevue, WA · On-site
$236K - $339K/yr
Deep expertise in at least two of the following: representation learning, world models, reinforcement learning, generative modeling, robotics/embodied AI, or scientific ML * Hands-on experience ...
Senior/Staff Machine Learning Engineer, Agent Simulation
Seattle, WA · On-site
$190 - $285/hr
Experience with LLMs, reinforcement learning, imitation learning * Conference or journal publications in machine learning or robotics * Prior experience with agent behaviors, prediction, autonomous ...
New
Senior/Staff Machine Learning Engineer, Agent Simulation
Seattle, WA · On-site
$190 - $285/hr
Experience with LLMs, reinforcement learning, imitation learning * Conference or journal publications in machine learning or robotics * Prior experience with agent behaviors, prediction, autonomous ...
New
The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
Research Scientist, Robotics Research - PhD New College Grad 2026
Seattle, WA · On-site
$168 - $265/hr
The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
New
Research Scientist, Robotics Research - PhD New College Grad 2026
Seattle, WA · On-site
$168 - $265/hr
The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
New
The Seattle Robotics Lab ( is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
The Seattle Robotics Lab ( is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
The Seattle Robotics Lab ( is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
The Seattle Robotics Lab ( is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation ...
The Vulcan Stow team ( at Amazon Robotics builds high-performance, real-time robotic systems that ... We hire and develop ML experts in reinforcement learning, combinatorial optimization, predictive ...
The Vulcan Stow team ( at Amazon Robotics builds high-performance, real-time robotic systems that ... We hire and develop ML experts in reinforcement learning, combinatorial optimization, predictive ...
... in reinforcement learning, combinatorial optimization, predictive modeling, and decision systems ... Robotics:
... in reinforcement learning, combinatorial optimization, predictive modeling, and decision systems ... Robotics:
... in reinforcement learning, combinatorial optimization, predictive modeling, and decision systems ... Robotics:
... in reinforcement learning, combinatorial optimization, predictive modeling, and decision systems ... Robotics:
Senior Applied Scientist, Industrial Robotics Group
Seattle, WA · On-site
$104K - $142K/yr
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine ... reinforcement learning, constraint programming, or stochastic modeling - Ability to design rigorous ...
Senior Applied Scientist, Industrial Robotics Group
Seattle, WA · On-site
$104K - $142K/yr
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine ... reinforcement learning, constraint programming, or stochastic modeling - Ability to design rigorous ...
Applied Scientist III - Robotics & Physical AI, Autonomous Lab, WW Sustainability
Seattle, WA · On-site
We are looking for a robotics scientist to build and operate the first autonomous materials ... reinforcement learning, and imitation learning for dexterous lab manipulation. - Build production ...
Applied Scientist III - Robotics & Physical AI, Autonomous Lab, WW Sustainability
Seattle, WA · On-site
We are looking for a robotics scientist to build and operate the first autonomous materials ... reinforcement learning, and imitation learning for dexterous lab manipulation. - Build production ...
Software Engineer, Machine Learning
Seattle, WA · On-site
$120K - $300K/yr
The company leverages over a decade of advanced research in robotics and machine learning, as well ... prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
Software Engineer, Machine Learning
Seattle, WA · On-site
$120K - $300K/yr
The company leverages over a decade of advanced research in robotics and machine learning, as well ... prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
Senior Applied Research Engineer
Bellevue, WA · On-site
$117K - $162K/yr
Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related ... reinforcement learning, and on-policy distillation. * Experience developing, evaluating, and ...
Senior Applied Research Engineer
Bellevue, WA · On-site
$117K - $162K/yr
Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related ... reinforcement learning, and on-policy distillation. * Experience developing, evaluating, and ...
Senior Applied Research Engineer
$117K - $162K/yr
Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related ... reinforcement learning, and on-policy distillation. * Experience developing, evaluating, and ...
Quick apply
Senior Applied Research Engineer
$117K - $162K/yr
Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related ... reinforcement learning, and on-policy distillation. * Experience developing, evaluating, and ...
Reinforcement Learning Robotics information
What is reinforcement learning in robotics?
Reinforcement learning in robotics refers to a type of machine learning where robots learn to perform tasks through trial and error, receiving feedback from their actions in the form of rewards or penalties. This approach allows robots to autonomously develop complex behaviors by interacting with their environment, rather than relying solely on pre-programmed instructions. Reinforcement learning is especially useful for tasks that are difficult to model explicitly, such as walking, grasping, or navigation. Over time, the robot improves its performance by maximizing the cumulative reward, leading to more efficient and adaptive behaviors.
What are some common challenges faced when implementing reinforcement learning algorithms in robotics projects?
One common challenge in this role is bridging the gap between simulation and real-world environments, as algorithms that perform well in simulation may not translate directly to physical robots due to unpredictable variables and hardware limitations. Additionally, ensuring the safety and stability of the robot during training is crucial, since trial-and-error learning can sometimes result in unintended behaviors or hardware damage. Collaboration with hardware engineers and domain experts is often necessary to fine-tune models, interpret results, and iterate on solutions. Overcoming these challenges requires patience, adaptability, and strong communication skills within a multidisciplinary team.
What are the key skills and qualifications needed to thrive as a reinforcement learning robotics engineer, and why are they important?
To thrive as a Reinforcement Learning Robotics Engineer, you need a strong background in robotics, machine learning, and programming, typically supported by a degree in computer science, engineering, or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience with simulation environments (such as Gazebo or ROS), and familiarity with reinforcement learning algorithms are essential. Strong problem-solving skills, creativity, and effective communication set standout professionals apart in this rapidly evolving field. These skills enable engineers to develop intelligent robotic systems that adapt and learn efficiently, driving innovation and practical deployment in real-world environments.
What is the difference between Reinforcement Learning Robotics vs Machine Learning Engineer?
| Aspect | Reinforcement Learning Robotics | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Degree in Robotics, Computer Science, or related fields; knowledge of reinforcement learning | Degree in Computer Science, Data Science, or related fields; expertise in machine learning algorithms |
| Work Environment | Robotics labs, manufacturing, autonomous systems | Tech companies, data-driven projects, software development |
| Industry Usage | Autonomous robots, industrial automation, research | Data analysis, predictive modeling, AI applications |
Reinforcement Learning Robotics focuses on applying reinforcement learning techniques to control and optimize robotic systems, often in physical environments. Machine Learning Engineers develop algorithms for a broad range of applications, including data analysis and predictive modeling. While both roles require knowledge of machine learning, Reinforcement Learning Robotics emphasizes robotics and real-world interaction, whereas Machine Learning Engineers work across various industries with software-based solutions.
What are popular job titles related to Reinforcement Learning Robotics jobs in Seattle, WA?
For Reinforcement Learning Robotics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Robotics jobs in Seattle, WA look for?
The top searched job categories for Reinforcement Learning Robotics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Reinforcement Learning Robotics jobs?
Cities near Seattle, WA with the most Reinforcement Learning Robotics job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 12 days ago
Amazon rating
7.4
Based on 7,105 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for Applied Scientists to drive innovation with Gen AI to bring paradigm shift to how the business operates and build "best in the world" experience that customers will love!
Some of the science challenges we work on include building Agentic AI systems, fine-tuning Large language models for domain specific use cases, Reinforcement Learning, automated cloud optimization, generating strategic insights and recommendations from very large datasets.
You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.
Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in professional software development
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, Bellevue - 142,800.00 - 193,200.00 USD annually
Some of the science challenges we work on include building Agentic AI systems, fine-tuning Large language models for domain specific use cases, Reinforcement Learning, automated cloud optimization, generating strategic insights and recommendations from very large datasets.
You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.
Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in professional software development
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, Bellevue - 142,800.00 - 193,200.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US