Applied Scientist - Foundation Model, Industrial Robotics Group

Amazon • Sunnyvale, CA

1d

About The Position

Industrial Robotics Group 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
innovative 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.

We leverage advanced robotics, machine learning, and artificial intelligence to
solve complex operational challenges at unprecedented scale. Our fleet of robots
operates across hundreds of facilities worldwide, working in sophisticated
coordination to fulfill our mission of customer excellence.
We are pioneering the development of robotics foundation models that:
• Enable unprecedented generalization across diverse tasks
• Integrate multi-modal learning capabilities (visual, tactile, linguistic)
• Accelerate skill acquisition through demonstration learning
• Enhance robotic perception and environmental understanding
• Streamline development processes through reusable capabilities

The ideal candidate will contribute to research that bridges the gap between
theoretical advancement and practical implementation in robotics. You will be
part of a team that's revolutionizing how robots learn, adapt, and interact with
their environment.

Join us in building the next generation of intelligent robotics systems that
will transform the future of automation and human-robot collaboration.

As an Applied Scientist, you will develop and improve machine learning systems
that help robots perceive, reason, and act in real-world environments. You will
leverage state-of-the-art models (open source and internal research), evaluate
them on representative tasks, and adapt/optimize them to meet robustness,
safety, and performance needs. You will invent new algorithms where gaps exist.
You’ll collaborate closely with research, controls, hardware, and product-facing
teams, and your outputs will be used by downstream teams to further customize
and deploy on specific robot embodiments.

Requirements

• 2+ years of building models for business application experience
• 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
• Programming skills in Python plus one of C++/Java; ability to write production-quality research code
• Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines
• Demonstrated technical contributions (e.g., publications, patents, open-source, or impactful internal systems)

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree