Senior Machine Learning Engineer - Physical AI & Robotics

🤖 Machine Learning Engineer – Physical AI & Robotics

📍 Vancouver, BC

💰 Excellent Base + Meaningful Equity

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.

What You’ll Be Doing

• 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 productionize novel methods

What We’re Looking For

• 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!