Sr. ML Engineer, Perception

4 months ago

Base Salary

$190k - $222k/yr

Responsibilities

Own perception architecture for detection, tracking, classification, and sensor fusion across the targeting chain.
Develop ML models and training pipelines and deploy them on-device.
Build multi-sensor fusion capabilities across EO/IR and other relevant sensors.
Optimize perception systems for real-time performance on embedded targets and within latency budgets.
Mentor perception engineers as the team grows.
Partner with controls, robotics software, hardware, and leadership to define and deliver achievable system capabilities.
Participate in weekly field testing and range events.

5+ years building and shipping perception systems on real hardware.
Strong Python and C++ skills with deep machine learning engineering experience.
Experience with computer vision, tracking, and detection in real-time, real-world conditions.
Experience deploying models on-device using TensorRT, ONNX, or equivalent.
Track record optimizing perception for embedded compute and latency budgets.
BS, MS, or PhD in computer science, electrical engineering, robotics, or equivalent; demonstrated track record may outweigh the degree.
Experience shipping perception systems against real targets rather than only conducting research or offline batch processing.

Competitive salary and equity.
United Health Care medical, dental, and vision coverage.
Flexible 18 days of paid time off and 5 sick days.
Travel to field-test events and range days.
Covered daily lunches, office snacks, and drinks.
E-bike or scooter stipend of up to $500.
Direct access to leadership and ownership over the work.
Core hours are Monday through Friday, 9 a.m. to 6 p.m., with additional nights and weekends during demo or field-test sprints.
The role is based at the company's San Francisco lab and requires access to export-controlled information or items restricted to U.S. Persons.

11-50 employees