Flight Research Senior Machine Learning Engineer
Tasks
- Architect environment detection and tracking algorithms
- Build model training pipelines
- Design training infrastructure for datasets and models
- Develop diagnostic and visualization tools
- Embed and validate algorithms with cross disciplinary teams
- Evaluate models within operational design domain
- Filter sensor data from flights
- Optimize perception latency and robustness with simulation
- Perform root cause analysis from field data
- Train perception and reasoning models
Perks/Benefits
- 401k plan
- Company match
- Employee stock purchase plan
- Healthcare benefits
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
Skills/Tech-stack
C++ | CI/CD | Computer Vision | Data Curation | Deep learning | GPU Computing | Geometric Computer Vision | Inference Optimization | Lidar | MLOps | Machine Learning | Model Experimentation | Multi Sensor | Multi-sensor Fusion | Object Detection | Object Tracking | PyTorch | Python | Radar | Sensor fusion | Simulation | Stereo vision | Structure from Motion | Version control | Visual Odometry
Education
Regions
Countries
States
Cities
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