Machine Learning Engineer – Motion Planning & Prediction

Highlights

• Design prediction and planning models that drive AVs in real traffic.
• Build eval frameworks tied to on-road safety, not just offline loss.
• Diagnose long-tail failures from petabytes of real driving logs.

Ideal candidate

Creative, driven engineer obsessed with real-world robotics who has shipped prediction or planning systems to physical hardware and loves digging into long-tail failures and safety-critical performance.

Requirements

• Hands-on experience with behavioral/trajectory prediction, motion planning, decision-making under uncertainty, or adjacent autonomy work for AVs, robots, drones or similar physical systems
• Experience deploying machine learning to real hardware in the physical world under real-time or resource constraints
• Strong Python and production experience with PyTorch, TensorFlow, or JAX
• Proficiency in C++ or Rust for performance-critical inference and integration
• Demonstrated ownership of a system from prototype through deployment including debugging after shipping