Applied Scientist II, Foundation Model, Robotics

Applied Scientist II, Foundation Model, Robotics

Job :  |  Services LLC

Location:

San Francisco, CA, USA

Salary: $171,600 - $222,200 annually

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting‑edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world‑class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human‑robot interaction.

This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.

• Leverage state‑of‑the‑art models for targeted tasks, environments, and robot embodiments through fine‑tuning and optimization.
• Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between simulation and real environments.
• Build and run capability evaluations/benchmarks to profile performance, generalization, and failure modes.
• Contribute to the data and training workflow: collection/curation, dataset quality/provenance, and repeatable training recipes.
• Write clean, maintainable, well‑commented and documented code; contribute to training infrastructure; create tools for model evaluation and testing; implement necessary APIs.
• Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.
• Work closely with senior scientists, engineers, and leaders across multiple teams; participate in knowledge sharing; support integration efforts with robotics hardware teams; and help document best practices and methodologies.

• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
• PhD, or Master’s + 4+ years building ML models/algorithms in applied settings.
• 2+ years hands‑on experience in deep learning with strength in at least one: computer vision, multimodal models, imitation learning/RL for robotics, or human‑robot interaction.
• Strong programming skills in Python plus one of C++/Java; ability to write production‑quality research code.
• Demonstrated ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines.

• Experience using Unix/Linux.
• 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.

Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Benefits include sign‑on payments and restricted stock units (RSUs); comprehensive health insurance; 401(k) matching; paid time off; parental leave; and more. Learn more at (Use the "Apply for this Job" box below)..

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