Ingénieur·e en apprentissage automatique, II — Modèle de scène (Perception
Remote - US, Ann Arbor, MI, Montreal, Canada, Remote - Canada
R
USD 54K-55K (estimate) Entry-level Apprenticeship
Tasks
- Analyze data distributions and corner cases
- Design model architectures and sensor fusion strategies
- Develop machine learning models for scene understanding
- Evaluate model performance and identify failure modes
- Fuse multimodal sensor data
- Implement production quality machine learning code
- Improve model robustness across driving environments
- Improve training efficiency and experimentation tracking
- Integrate perception models into autonomy stack
- Organize large scale training datasets
- Test perception pipelines and enable rapid iteration
- Train object detection models
Perks/Benefits
- Commute subsidy
- Flexible schedule
- Life insurance
- Medical, dental & vision coverage
- Office Closures on Holidays
- Paid time off
- Retirement savings plan
Skills/Tech-stack
BEV | Cameras | Computer Vision | Data Analysis | Data Distribution | Data distribution analysis | Deep learning | Distribution analysis | Experiment tracking | Graph Neural Networks | Imitation Learning | Lane Prediction | Lidar | Model Evaluation | Neural Networks | Object Detection | Occupancy prediction | PyTorch | Python | Radar | Reinforcement Learning | Route Prediction | Scene Understanding | Semantic Segmentation | Sensor fusion | Sequence Modeling | Training pipelines | Transformers | Voxel grids
Education
Regions
Countries
States
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