ML Infrastructure Engineer, Fauna
Hybrid (New York, NY)$184.9k - $250.2kPosted 4mo ago
About the role
Machine Learning Engineer role focused on training, evaluating, and deploying ML models for Fauna robotics. Hands-on ML work, including training policies, debugging convergence, running simulations, and deploying models to edge hardware, with emphasis on reinforcement learning, computer vision, and supervised learning in robotics.
Responsibilities
- Train and iterate on neural network policies for locomotion, manipulation, navigation, and perception using reinforcement and supervised learning
- Design and run experiments in simulation (Isaac Lab, MuJoCo, or similar) and transfer results to physical hardware
- Debug training runs end-to-end: diagnosing convergence failures, reward shaping issues, data quality problems, and sim-to-real gaps
- Optimize models for deployment on edge hardware (NVIDIA Jetson) with strict latency and memory constraints
- Build and maintain MLOps infrastructure: experiment tracking, model versioning, evaluation pipelines, and reproducible training workflows
Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering or related field
- Knowledge of data structures, algorithm design, statistics, and system design
- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
Skills
Required:Reinforcement learningComputer visionSupervised learningMLOpsEdge deploymentSimulation environments
Benefits
- health insurance (medical, dental, vision, prescription) and basic life & AD&D insurance with optional supplemental life plans
- 401(k) matching
- paid time off
- parental leave
- and other Amazon benefits as described in company materials
Last updated Oct 25, 2026. Interested? Apply on the company site.
More open roles at Amazon
- IT Support Associate II, Ops Tech Solutions (OTS)yesterdayPlainfield, Indiana · Operations IT Support Engineering
- Head of Energy and Water, AWS LegalyesterdayHybrid (Seattle, WA) · Legal
- Software Development Engineer, Creative Asset Library, CreativeXyesterdaySeattle · Software Development
- Software Development Engineer, Creative Asset Library, CreativeXyesterdayHybrid (Seattle, WA) · Software Development
- IT Support Associate II, OTSyesterdayIrving, TX · Operations IT Support Engineering