The Machine Learning Engineer will collaborate with research scientists to train, evaluate, and deploy models that enable robots to operate in real-world environments. This hands-on role focuses on reinforcement learning, computer vision, and supervised learning applied to robotics. The team at Fauna Robotics aims to create accessible and delightful robotic solutions for everyday life. The position involves optimizing training infrastructure and ensuring models function effectively on hardware.

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience with at least one software programming language
• 5+ years of experience leading design or architecture of new and existing systems
• 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 in robotics design, automation systems development, or control systems design
• Experience with training and deploying machine learning systems for large-scale optimizations
• Experience mentoring or training the engineering community on complex technical issues

• Train and iterate on neural network policies for locomotion, manipulation, navigation, and perception using reinforcement and supervised learning
• Design and run experiments in simulation and transfer results to physical hardware
• Debug training runs end-to-end, diagnosing convergence failures and data quality problems
• Optimize models for deployment on edge hardware with strict latency and memory constraints
• Build and maintain MLOps infrastructure including experiment tracking and model versioning

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.