Staff, ML Engineer - Road & Lane Detection
Tasks
- Advance self supervised pretraining
- Build active learning pipelines
- Collaborate with model dev and perception teams
- Develop data curation and labeling policies
- Develop evaluation metrics and frameworks
- Mentor engineers and scientists
- Model road and lane temporal consistency
- Own model roadmap for road and lane detection
- Perform synthetic to real adaptation
- Research design and train neural architectures
- Run distributed training experiments
Perks/Benefits
- 401k employer match
- Disability insurance
- Flexibility in schedule
- Hybrid work
- Life insurance
- Paid medical dental and vision
- Paid vacation
- Remote work option
Skills/Tech-stack
Active Learning | BEV Modeling | Camera Calibration | Deep learning | Distributed Training | Instance Segmentation | Lane Graphs | LiDAR Vision Fusion | Lightning | PyTorch | Python | Self-Supervised Learning | Self-supervised | Semantic Segmentation | Sensor projection | Supervised Learning | Synthetic to Real Adaptation | Temporal modeling | Transformer Models
Education
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