Senior, ML Engineer - Offline Perception
Tasks
- Build automated labeling and pseudo labeling systems
- Define MLOps evaluation and deployment best practices
- Design offline perception models
- Develop data pipelines for ingestion processing curation governance
- Develop object detection and tracking models
- Evaluate model performance and annotation quality
- Implement sensor fusion models
- Integrate perception outputs into autonomous workflows
- Optimize models for production requirements
- Provide technical mentorship and architecture guidance
- Research and apply state of the art perception techniques
Perks/Benefits
- Dental insurance
- Flexible work arrangements
- Health insurance
- Holiday closures
- Life insurance
- Long-term incentive opportunities
- Paid time off
- RRSP matching
- Relocation support
- Sign on support
- Vision insurance
Skills/Tech-stack
BEV Modeling | CI/CD | Cloud Computing | Computer Vision | Data Curation | Deep learning | Distributed Computing | Docker | MCAP | MLOps | MLflow | Machine Learning | Multimodal Learning | Object Detection | Parquet | PyTorch | PyTorch Lightning | Python | Ray | SLAM | Semantic Segmentation | Sensor fusion | Tracking | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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