Amazon · 3 hours ago
Sr. Applied Scientist, Frontier AI & Robotics (FAR)
San Francisco, CA
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
6+ years expAmazon's Frontier AI & Robotics team is at the forefront of robotics innovation, seeking a Senior Applied Scientist to lead the development of advanced robotics systems and models. The role involves combining hands-on technical work with scientific leadership to deliver solutions that enhance robot capabilities in real-world environments.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
Responsibilities
Lead technical initiatives across the robotics stack, driving breakthrough approaches through hands-on research and development in areas including robot co-design, dexterous manipulation mechanisms, innovative actuation strategies, state estimation, low-level control, system identification, reinforcement learning, and sim-to-real transfer, as well as foundation models for perception and manipulation
Guide technical direction for full-stack robotics projects from conceptualization through deployment, taking a system-level approach that integrates hardware considerations with algorithmic development
Develop and optimize control algorithms and sensing pipelines that enable robust performance in production environments
Mentor fellow scientists while maintaining strong individual technical contributions
Collaborate with platform and hardware teams to ensure seamless integration across the entire robotics stack
Influence technical decisions and implementation strategies within your area of focus
Design and implement innovative systems and algorithms, working hands-on with our extensive infrastructure to prototype and evaluate at scale
Guide fellow scientists in solving complex technical challenges across the full robotics stack
Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems
Drive technical discussions within your team and with key stakeholders
Conduct experiments and prototype new ideas using our massive compute cluster and extensive robotics infrastructure
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
3+ years of industry or academic research experience in ME, EE, CS, CE, or related field
Experience programming in Java, C++, Python or related language
Experience with hardware design, low-level control, state estimation, system identification, or complex electrical systems
Strong publication record at top-tier conferences (RSS, CoRL, NeurIPS, ICML, ICLR, CVPR, ICCV, ICRA, IROS)
Strong track record of leading technical projects
Experience mentoring junior scientists/engineers
Demonstrated expertise in deep learning and robotics system development
Preferred
History of impactful first-author publications at major robotics and ML conferences
Experience leading research initiatives in full-stack robotics or foundation models
Track record of successful production robotics deployments
Experience with large-scale distributed systems
History of technical leadership and team mentorship
Experience bridging research with practical engineering implementation in robotics systems
Extensive programming skills in Python and PyTorch/JAX
Benefits
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package
Full range of medical, financial, and/or other benefits
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
Represents job field similar to this job
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
Kleiner 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
Recent News
2026-01-01
2025-12-31
2025-12-31
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