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Senior Robotics Engineer - AI & Learning
Multiply Labs
San Francisco, USA
Full-time
Senior · 3+ years experience
Onsite
USD 140000-180000 yearly / year
Discovered 1 weeks ago
PythonPyTorchTensorFlowIsaac SimMuJoCoPyBullet
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Key Skills for This Role
PythonPyTorchTensorFlowIsaac SimMuJoCoPyBullet
Full Job Posting
- Develop & Train AI Models: Design, train, and deploy deep learning models for robotic manipulation on hardware, leveraging state-of-the-art imitation learning techniques.
- Build Data Pipelines: Create and manage the full lifecycle of robotics data—from teleoperated data collection and simulation-based generation to processing and augmentation for model training.
- Leverage Simulation: Utilize high-fidelity physics simulators (e.g., NVIDIA Isaac Sim) to train and validate robust policies before deploying them on our physical robots.
- Stay on the Cutting Edge: Stay at the forefront of Physical AI research (e.g., foundation models, transformers for robotics) and translate breakthrough concepts into practical applications.
- Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.
- Bachelor’s or graduate degree in Computer Science, Robotics, AI, or a related field with a focus on machine learning.
- 3+ years of relevant industry experience deploying production-grade machine learning models.
- High proficiency with Python and deep learning frameworks (PyTorch, TensorFlow).
- Experience with modern robotics simulation environments designed for ML (e.g., Isaac Sim, MuJoCo, PyBullet).
- A strong theoretical and practical understanding of imitation learning, reinforcement learning, and computer vision fundamentals.
- A passion for solving real-world robotics problems and a drive to build systems that work reliably outside of the lab.
- A track record of deploying learned policies onto physical robot hardware, especially high-degree-of-freedom manipulators or humanoids.
- Publications in top-tier robotics or AI conferences.
- Familiarity with recent advancements in foundation models for robotics.
- Experience building and managing large-scale robotics datasets.
- 401K with 4% company match
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Partial Health Insurance for Child Dependents
- HSA or FSA
- Twice weekly catered lunch (for team members in SF office)
• 10 Paid Holidays
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