Senior Robotics Engineer - AI & Learning
Location
San Francisco, CA
Level
Senior-Level
Department
MedTech
Type
Salary
Job Description
Posted on:
2025-10-16
Responsibilities
- Develop & Train AI Models: Design, train, and deploy deep learning models for robotic manipulation.
- Build Data Pipelines: Create and manage the lifecycle of robotics data for model training.
- Leverage Simulation: Utilize high-fidelity physics simulators for training and validation of policies.
- Stay on the Cutting Edge: Keep up with Physical AI research and apply new concepts.
- Mentorship & Best Practices: Mentor other engineers and promote software best practices.
Job Requirements
- Bachelor’s or graduate degree in Computer Science, Robotics, AI, or related field.
- 3+ years of experience deploying production-grade machine learning models.
- High proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with robotics simulation environments for ML (e.g., Isaac Sim, MuJoCo).
- Strong understanding of imitation learning, reinforcement learning, and computer vision.
- Passion for solving real-world robotics problems and building reliable systems.
- Nice to haves include experience deploying learned policies on physical robots and publications in robotics or AI conferences.
