Amazon
ML Infrastructure Engineer, Fauna
$185K–$250K
New York, NY · Full-time · Posted May 15, 2026
- Experience
- 5+ years of non-internship professional software development; 5+ years programming; 5+ years leading design or architecture. Also requires experience mentoring, tech leading, or leading an engineering team.
- Education
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering, or related field.
About the job
Train, evaluate, and deploy machine-learning models for robots, while building the infrastructure and optimizing models needed to run them in simulation and on physical hardware.
What you'll do
- Train and iterate on neural-network policies for robotics tasks; run simulation experiments and transfer results to hardware.
- Debug training end-to-end and optimize models for edge devices under latency and memory constraints.
- Build and maintain MLOps infrastructure for experiment tracking, model versioning, evaluation, and reproducible workflows.
What they ask for
- 5+ years of non-internship professional software development experience and 5+ years programming with at least one software programming language.
- 5+ years leading design or architecture of new and existing systems.
- Experience as a mentor, tech lead, or engineering team lead.
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering, or a related field.
Nice to have
- Experience in robotics design, automation systems, control systems, or related product development.
- Experience training and deploying machine-learning systems for large-scale optimizations.
Pay
184,900.00 - 250,200.00 USD annually (base salary)
Tools
Isaac Lab, MuJoCo, NVIDIA Jetson
AI focus
Train, evaluate, and deploy reinforcement- and supervised-learning policies for robot locomotion, manipulation, navigation, and perception; optimize deployment to edge hardware.
Model-written summary · the original posting is authoritative