Staff Machine Learning Engineer
Tasks
- Adapt autonomous driving models to novel urban environments
- Benchmark and deploy models using hardware accelerated runtimes
- Build data curation pipelines for rare scenario mining
- Build interactive world models from multi sensor logs
- Develop reinforcement learning models for trajectory planning
- Distill quantize and optimize models for edge deployment
- Implement active learning and quality metrics for training data
- Integrate multimodal models for autonomous vehicle actuation
- Process and structure multi sensor driving datasets
- Profile and optimize real time inference pipelines
Perks/Benefits
- 401k
- Disability insurance
- Equity
- Flexible spending account
- Flexible time off
- Health savings account
- Life insurance
- Medical/Dental/Vision insurance
- Onsite work five days per week
- Paid Holidays
- Paid parental leave
- Pre-tax commuter benefits
- Team lunch
Skills/Tech-stack
Active Learning | CUDA | Cameras | Data Engineering | Data Mining | Debugging | Deep learning | Edge Computing | JAX | Knowledge Distillation | Lidar | Machine Learning | Model Optimization | Model Quantization | Multimodal Learning | Profiling | PyTorch | Python | Radar | Reinforcement Learning | Sensor fusion | TensorRT | Transformers | Vision
Education
N/A
Regions
Countries
States
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