ML Engineer, II - Birds Eye View (BEV)
Remote - US, Ann Arbor, MI, Montreal, Canada, Remote - Canada
R
USD 150K-190K (estimate) Mid-level Full Time
Tasks
- Analyze data distributions and corner cases
- Curate training data from simulation and fleet logs
- Debug model behavior and iterate training pipelines
- Develop machine learning models for scene understanding
- Discuss model architectures and sensor fusion
- Evaluate model performance
- Fuse LiDAR camera radar and map inputs
- Identify failure modes
- Identify objects and lanes
- Implement production quality ML code
- Improve model robustness
- Improve training efficiency
- Integrate models into autonomy stack
- Integrate models into testing pipelines
- Perform semantic classification
- Predict occupancy
- Predict road and lane structure
- Track experiments and ensure reproducibility
- Train machine learning models
- Understand driving maps in BEV
Perks/Benefits
- N/A
Skills/Tech-stack
BEV Representations | Birds Eye View | Cameras | Computer Vision | Data Pipelines | Deep learning | Distributed Training | Experiment tracking | Graph Neural Networks | Imitation Learning | Large-scale | Large-scale Datasets | Lidar | Machine Learning | Map Inputs | Neural Networks | Object Detection | Occupancy prediction | PyTorch | Python | Radar | Reinforcement Learning | Reproducibility | Semantic Segmentation | Sensor fusion | Sequence Modeling | Training pipelines | Transformers
Education
Regions
Countries
States
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