Amazon.com Services LLC
Robotics
AppliedScientistII,FoundationModel,Robotics
“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
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