Senior Machine Learning Perception Engineer

Join Mytra as a Senior Machine Learning Perception Engineer, where you'll be a key member of our Computer Vision team. In this hands-on role, you'll build the perception stack that gives our distributed robot fleet its situational awareness. You'll own significant perception workstreams end to end, from data collection through deployment, and work closely with the camera, robotics, and safety teams. Your work will have a real impact across the robotics stack, as perception feeds everything downstream, including collision avoidance, localization, and safety.

• Conception, development, and deployment of perception models for object detection, depth estimation, and scene understanding.
• Ownership of the vision data engine, including ETL pipelines, cloud storage, labeling workflows, and training-ready datasets.
• Collaboration with cross-disciplinary teams to integrate perception on the robot, optimize models for on-bot compute, and ensure successful deployment.
• 5+ years of directly relevant experience building and shipping computer vision or ML perception systems (BS required; MS or PhD preferred)
• The ability to work across disciplinary boundaries, collaborating with software, controls, and safety engineers to debug real robotic systems
• Hands-on experience with cameras and depth/ToF sensors, including data collection and calibration
• Comfort with ambiguity and an early-stage mindset: you're excited to shape an immature, high-impact area, and you're willing to realize mistakes and pivot
• Strong Python and PyTorch skills, and comfort with C/C++ for on-device or performance-critical code
• Experience building or operating vision data pipelines and labeling workflows: dataset creation, curation, and assisted or auto-labeling
• A track record of shipping perception to production on real systems, with the data-centric debugging instincts to know why models break and how to fix them
• Simulation and sim-to-real experience (Isaac Sim, Webots, Gym, MuJoCo, or similar)
• Strong applied computer vision and deep learning skills (detection, segmentation, tracking, depth estimation) together with solid classical and geometric CV, including camera calibration and projection geometry
• If this role excites you, we encourage you to apply — even if you don’t check every box.
• Edge and embedded model optimization (quantization, pruning, distillation, TensorRT or similar) for resource-constrained on-robot compute
• Familiarity with vision data and observability tooling (Foxglove, GCP, Encord, or equivalents)
• Foundation models, world models, or vision-language approaches applied to perception or simulation
• Robotics and systems integration experience (ROS or similar, CAN, pub/sub frameworks) and deploying perception across distributed robot fleets