Senior AI/ML Engineer - Data Scaling, Embodied AI Data Foundations
CAD 125K-174K Senior-level Full Time
Tasks
- Analyze model failures root cause in data
- Apply self supervised pre training imitation learning reinforcement learning foundation model fine tuning
- Collaborate to deploy models in onboard driving systems
- Define offline metrics and evaluations predicting on road behavior
- Design experiments linking data composition to model behavior
- Develop data curation and mining methods auto labeling deduplication difficulty uncertainty estimation
- Document learnings and best practices
- Implement dataset mixtures sampling strategies curricula scaling law studies
- Review literature and update training recipes
- Train models at scale multi GPU multi node
Perks/Benefits
- Defined contribution pension plan
- Healthcare/dental/vision benefits
- Life insurance
- Paid time off
- Vehicle purchase plan
Skills/Tech-stack
Auto-labeling | Data Curation | Data Mining | Data Processing | Deduplication | Distributed Training | Foundation Models | GPU Training | Imitation Learning | Large Scale Data | Large-scale | Large-scale Data Processing | Machine Learning | Multi-GPU | Multi-GPU Training | NumPy | Pandas | Perception | PyTorch | Python | Reinforcement Learning | SQL | Self-Supervised Learning | Self-supervised | Spark | Supervised Learning | Trajectory Generation | Uncertainty Estimation
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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