Applied Scientist II, Foundation Model, Industrial Robotics Group

About the role

The Industrial Robotics Group at Amazon is seeking talented individuals to contribute to the development of advanced robotics systems that will transform automation at Amazon's scale. This role involves shaping the future of robotics through innovative applications of deep learning and large language models, working with world-class teams to push the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction.

Responsibilities

• 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 sim and real environments.
• Build and run capability evaluations/benchmarks to clearly 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, and 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.

Requirements

• 2+ years of building models for business application experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• 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
• Demonstrated technical contributions (e.g., publications, patents, open-source, or impactful internal systems)

Qualifications

• Basic Qualifications
• Preferred Qualifications

Benefits

• Comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Pay

Base salary range: $171,600.00 - $222,200.00 USD annually

Schedule

Full-time