Senior Robotics Engineer - AI & Learning

Multiply Labs • San Francisco, CA

81d • $140,000 - $180,000

About The Position

At Multiply Labs, we are applying AI to solve complex manipulation challenges in robotic cell therapy manufacturing. We're looking for a Robotics Engineer specializing in AI and machine learning to develop the next generation of our intelligent robotic systems. This role is central to our strategy of using learning-based methods for real-world tasks that are difficult to solve with traditional robotics. You will be responsible for developing and deploying practical systems with a core focus on imitation learning and advanced humanoid grasping. You will work closely with a multi-disciplinary team to bring these AI-driven solutions from research into a production environment, directly impacting our mission to manufacture life-saving therapies at scale.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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)
• Pre-tax Commuter Benefit
• 10 Paid Holidays
• Flexible PTO
• Paid Parental Leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees