Senior Machine Learning Engineer - Physical AI & Robotics

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Machine Learning Engineer – Physical AI & Robotics

We’re partnering with a well‑funded robotics company building next‑generation Physical AI systems. They are developing intelligent robotic platforms that operate in the real world — and they’re hiring Machine Learning Engineers to help turn cutting‑edge research into production‑grade systems.

This is a hands‑on role at the intersection of robotics, machine learning, and systems engineering. You’ll work directly with robotic hardware, building and deploying ML policies that drive perception, manipulation, and decision‑making in dynamic environments.

• Designing and training ML models for real‑world robotic systems
• Implementing reinforcement or imitation learning techniques
• Building scalable systems for training and deploying ML policies
• Optimizing models for performance, latency, and robustness
• Collaborating with research and engineering teams to product ionize novel methods

• Master’s or PhD in Computer Science, Engineering, Mathematics, or related field
• 3+ years of experience in machine learning
• Must have Experience in reinforcement learning, imitation learning, robotics‑focused computer vision, or related areas
• 4+ years building and shipping production‑grade software systems
• Strong programming skills in Python and C++
• Experience deploying ML models into real‑world systems

This is an opportunity to work on ML systems that move, adapt, and interact with the physical world - not just live in notebooks.

If you’re interested in applying ML to real hardware and building the foundations of physical intelligence, apply below!