Senior/Staff AI Algorithms Engineer

Design and prototype novel algorithms at the intersection of learning, prediction, and planning, with a focus on solving real product challenges

Apply reinforcement learning, geometric reasoning, or optimization-based methods to tackle long-horizon manipulation, sensor fusion, or decision-making under uncertainty

Translate open-ended problems into clear technical approaches, balancing modeling intuition with real-world constraints like latency, reliability, and partial observability

Build and test your algorithms across simulation and real-robot environmentsCollaborate closely with product leads, software engineers, and roboticist to bring ideas into fruition

Contribute to internal knowledge, tooling, and experimentation pipelines that level up the entire team

PhD or equivalent experience in machine learning, robotics, optimization, applied math, or a related field

Strong mathematical foundation in areas such as probability, statistics, optimization, reinforcement learning, imitation learning, and foundation models

Ability to turn theoretical insights into practical, testable code using Python and PyTorch (or similar frameworks)

Curiosity, initiative, and a bias toward building and debugging in real systems

Clear communication skills and an ability to collaborate across engineering and research boundaries

Experience with physics simulators, control stacks, or physical sensing modalities (RGBD, force-torque, etc.)

Prior work on real-world ML deployments (e.g., autonomous vehicles, logistics, hardware-integrated ML)

Contributions to open-source ML, RL, or robotics libraries