Senior ML Perception Engineer

5+ years of directly relevant experience building and shipping computer vision or ML perception systems (BS required; MS or PhD preferred).

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.

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.

Hands-on experience with cameras and depth/ToF sensors, including data collection and calibration.

Experience building or operating vision data pipelines and labeling workflows: dataset creation, curation, and assisted or auto-labeling.

Strong Python and PyTorch skills, and comfort with C/C++ for on-device or performance-critical code.

Simulation and sim-to-real experience (Isaac Sim, Webots, Gym, MuJoCo, or similar).

The ability to work across disciplinary boundaries, collaborating with software, controls, and safety engineers to debug real robotic systems.

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.

Robotics and systems integration experience (ROS or similar, CAN, pub/sub frameworks) and deploying perception across distributed robot fleets.

Edge and embedded model optimization (quantization, pruning, distillation, TensorRT or similar) for resource-constrained on-robot compute.

Foundation models, world models, or vision-language approaches applied to perception or simulation.

Familiarity with vision data and observability tooling (Foxglove, GCP, Encord, or equivalents).

If this role excites you, we encourage you to apply — even if you don’t check every box. At Mytra, we build bots, but we hire humans. We value thoughtful challengers who communicate with clarity and respect, and we’re lifelong learners committed to getting better every day. We move fast, learn faster, and show up for each other under pressure. The best outcomes come from diverse perspectives working together to build something meaningful and built to last

Compensation for this position will be set based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.

The pay range for this role is:

$190,000 – $205,000

We’re creating an entirely new way to solve the most ubiquitous problem in industry - moving and storing material. We’re applying robotics and distributed software to create a new class of product for this $1T market. We’re focused on the supply chain industry first. The industry is in a massive bind with the continued growth of e-commerce, sharp rise in costs, and supply chain disruptions. What has been a “sleepy” industry for decades is now at the epicenter of sustaining the global economy.