Amazon.com Services LLC
Robotics
MemberofTechnicalStaffScience,FrontierAI&Robotics(FAR)
“Member of Technical Staff - Science, Frontier AI & Robotics (FAR) at Amazon.com Services LLC. Skills: AI research, Robotics, Foundation models, Deep learning. Drive foundational research. Build intelligent robotic systems”
Industry & Context.
Solve complex technical challenges; Tackle ambiguous problems
What They're Looking For.
Must Have
Master's degree and 4+ years experience, 4+ years CS, CE, ML experience, Experience with Python, Java, C++, Experience building ML models, Experience developing deep learning models, Experience applying theoretical models, Experience in patents or publications
Nice to Have
PhD, Industry or academic research experience, Expertise in deep learning, Expertise in large-scale models, Python and PyTorch/JAX skills, Impactful first-author publications, Bridging research with engineering, Sim2real transfer experience, Multi-task learning experience, Training/fine-tuning large models, Training/fine-tuning LLMs, VLMs, VLAs, Deploying ML models in production
What You'll Do.
Drive foundational research
Build intelligent robotic systems
Conduct original research
Deploy innovations into production
Develop foundation models
Develop full-stack robotics systems
Design novel frameworks
Drive technical excellence
Pursue research directions
Drive independent research initiatives
Design and implement deep learning architectures
Guide technical direction
Integrate hardware considerations
Integrate algorithmic development
Ensure robust performance
Collaborate with platform teams
Optimize and scale models
Contribute to technical decisions
Influence implementation strategies
Mentor fellow researchers
Maintain technical contributions
Design and implement systems
Design and implement algorithms
Prototype and evaluate at scale
Solve complex technical challenges
Lead technical initiatives
Ensure integration with production systems
Drive technical discussions
Conduct brainstorming sessions
Transform theoretical insights
How You'll Work.
Team & Collaboration
Collaborate with platform teams; Collaborate with hardware teams; Collaborate with researchers; Collaborate with stakeholders
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