Amazon · 7 hours ago
Senior Applied Scientist, Personal Robotics Group
Sunnyvale, California, USA
Full-time
Onsite
Senior Level
$192K/yr - $260K/yr
6+ years expAmazon's Personal Robotics Group is seeking a Senior Applied Scientist to drive technical excellence in robotics. The role involves designing novel algorithms for perception, manipulation, and learning, while collaborating with a team to deliver robust solutions for real-world applications.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead technical initiatives in areas such as robotics foundation models, reinforcement learning and manipulation
Design experiments to identify the limitations of current state-of-the-art models and developing new models or techniques that can surpass these models
Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
Mentor fellow scientists while maintaining strong individual technical contributions
Collaborate with engineering teams to optimize and scale models for real-world applications
Influence technical decisions and implementation strategies within your area of focus
Experienced in communicating complex technical work to a non-technical audience
The ability to work with minimal guidance, be proactive and to handle ambiguity and the challenge of quickly evolving goals
Train ML models for deployment in simulation and real-world robots, identify and document their limitations post-deployment
Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations
Guide fellow scientists in solving complex technical challenges, from sim2real transfer to training RL policies
Mentor team members while maintaining significant hands-on contribution to technical solutions
Qualification
Required
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Hands-on experience with RL policy training and deployment for robotics
Preferred
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
Have publications at top-tier peer-reviewed conferences or journals
Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience with software development lifecycle
Hand-on experience of deploying Deep Learning models on robots
Experience in developing Vision Language Action (VLA) models and/or Reinforcement learning for robot manipulation
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
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