Staff, ML Engineer - BEV
Tasks
- Collaborate with sensor mapping and fusion teams
- Design multi-modal fusion architectures
- Develop data sampling and augmentation strategies
- Drive research into 3D vision and self supervised learning
- Establish model evaluation frameworks
- Improve perception robustness for edge cases
- Lead BEV perception model development for autonomous driving
- Manage distributed training workflows
- Mentor machine learning engineers
- Train and optimize large scale machine learning pipelines
Perks/Benefits
- Dental insurance
- Flexible-hybrid work
- Holiday closure
- Life insurance
- Medical insurance
- Paid vacation
- Professional growth
- Public transit subsidy
- Remote work
- Retirement plan matching
- Vision insurance
- Work-life balance
Skills/Tech-stack
3D Vision | BEV Modeling | Cloud processing | Computer Vision | Deep learning | Distributed Training | HD Map | Lidar | MLOps | Machine Learning | Multi-view Geometry | Multimodal fusion | Point Cloud | Point Cloud Processing | PyTorch | Python | Radar | Ray | TensorFlow
Education
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