Amazon.com Services LLC
Robotics
AppliedScientistII,FoundationModel,Robotics
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II, Foundation Model, Robotics at Amazon.com Services LLC. Skills: Foundation models, Robotics, Deep learning, Machine learning. Develop machine learning systems. Improve machine learning systems”
What You'll Achieve.
Transform automation at Amazon's scale; Create adaptable automation solutions; Shape the future of robotics; Transform the future of automation; Build the next generation of intelligent robotics systems
Industry & Context.
Analyze results; Iterate quickly; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
2+ years hands-on experience in deep learning, 2+ years experience in computer vision, 2+ years experience in multimodal models, 2+ years experience in imitation learning / RL for robotics, 2+ years experience in human-robot interaction, Programming skills in Python, Programming skills in C++/Java, Ability to write production-quality research code, Demonstrated ability to design rigorous experiments, Demonstrated ability to analyze results, Demonstrated ability to iterate quickly with reproducible baselines, PhD or Master’s + 4+ years building ML models/algorithms
Nice to Have
Experience using Unix/Linux, Experience in professional software development
What You'll Do.
Develop machine learning systems
Improve machine learning systems
Leverage state-of-the-art models
Invent new algorithms
Collaborate with research teams
Collaborate with controls teams
Collaborate with hardware teams
Collaborate with product-facing teams
Leverage state-of-the-art models for tasks
Leverage state-of-the-art models for environments
Leverage state-of-the-art models for embodiments
Execute rapid experimentation
Execute rigorous experimentation
Ensure reproducible results
Apply solid engineering practices
Close gap between sim and real
Build capability evaluations
Run capability evaluations
Profile generalization
Profile failure modes
Contribute to data workflow
Contribute to training workflow
Ensure dataset quality
Ensure dataset provenance
Develop repeatable training recipes
Write maintainable code
Write well commented code
Write documented code
Contribute to training infrastructure
Create tools for model evaluation
Create tools for model testing
Implement necessary APIs
Stay current with foundation models
Stay current with robotics
Assist in literature reviews
Assist in research documentation
Prepare technical reports
Prepare presentations
Contribute to research discussions
Contribute to brainstorming sessions
Work closely with senior scientists
Work closely with engineers
Work closely with leaders
Participate in knowledge sharing
Support integration efforts
Help document best practices
Help document methodologies
How You'll Work.
Team & Collaboration
Research teams; Controls teams; Hardware teams; Product-facing teams; Senior scientists; Engineers; Leaders; Multiple teams
Communication Scope
Technical reports; Presentations
Full Job Description
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. 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. Key job responsibilities As an Applied Scientist in the Foundations Model team, you will: - Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimization. - Exec
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