ML Engineer, II - Camera Models
Remote - US, Ann Arbor, MI, Montreal, Canada, Remote - Canada
R
USD 153K-202K (estimate) Mid-level Full Time
Tasks
- Analyze failure modes and robustness
- Build large scale training pipelines
- Curate and improve training datasets
- Debug model behavior and metrics
- Design model architectures and training strategies
- Develop deep learning models for camera perception
- Evaluate model performance
- Implement production ML code
- Integrate ML models into autonomy systems
- Manage ML experiments
- Optimize experimentation workflows
- Prepare datasets for training
- Run distributed training
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
3D Perception | Camera Calibration | Computer Vision | Convolutional Neural Networks | Deep learning | Distributed Training | Experiment Management | Geometric reasoning | Multi-task Learning | Neural Networks | PyTorch | Python | Ray | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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