1 month ago
San Diego, CA, USASenior
Base Salary
$180k - $250k/yr
Responsibilities
- Define and drive the machine learning roadmap for vehicle perception.
- Scope and run measurable ML experiments tied to vehicle performance.
- Train, fine-tune, distill, and optimize perception models for compute-limited edge hardware.
- Validate real-time model performance on target embedded hardware and in maritime conditions.
- Build and maintain fleet-data pipelines, including dataset analysis, organization, and labeling.
- Establish evaluation frameworks and metrics for model behavior before deployment at sea.
- Integrate ML work with the vehicle software stack.
- Lead technical efforts, set technical direction, and mentor other engineers.
Requirements
- 7+ years of experience in machine learning, including 5+ years solving production perception problems.
- Deep computer vision experience, including foundation models and smaller custom models.
- Track record shipping performant ML models to edge devices and optimizing models using quantization, pruning, and inference runtimes such as TensorRT or ONNX Runtime.
- Strong Python proficiency, expert-level PyTorch fluency, and strong working knowledge of OpenCV.
- Experience with MLOps tooling for dataset versioning, experiment tracking, and model deployment.
- Experience with real-time camera, radar, and IMU sensor data and familiarity with filtering, tracking, and sensor fusion.
- Ability to independently scope projects, lead technical efforts, and mentor engineers.
- Strong technical communication skills.
- Preferred experience with probabilistic obstacle and target tracking, change detection, multimodal LiDAR/radar/camera/IMU sensor fusion, maritime or acoustic data, and path-planning or control algorithms.
Benefits
- Stock options.
- Competitive insurance, including a 99% employer-covered Gold HMO plan or other options.
- 401(k) matching up to 4% of salary.
- Four free lunches per week.
- Employee activity fund.
- Pet-friendly office.
- Unlimited/flexible PTO.
- In-office position in San Diego, California.
- Due to export control requirements, applicants must be U.S. persons, including U.S. citizens, lawful permanent residents, or individuals granted asylee or refugee status.
Categories
ML EngineeringRobotics
