Senior Machine Learning Engineer
Tasks
- Adapt autonomous driving models to novel urban environments
- Benchmark and deploy models using hardware accelerated runtimes
- Build interactive world models from multi sensor logs
- Compute statistical data quality metrics
- Design and deploy multimodal models for vehicle actuation
- Develop reinforcement learning techniques for trajectory planning
- Distill and quantize models for low latency edge deployment
- Extract long tail driving scenarios for behavior model training
- Implement programmatic data curation and active learning workflows
- Ingest and filter multi sensor datasets
- Integrate AI research into model prototypes
- Profile inference pipelines to remove CPU GPU memory bottlenecks
- Run model releases through simulated scenario testing
Perks/Benefits
- 401k
- Commuter benefits
- Dental insurance
- Disability insurance
- Equity
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick time
- Unlimited flexible time off
- Vision insurance
Skills/Tech-stack
Active Learning | Birds Eye View | C++ | CUDA | Cameras | Data Engineering | Data Mining | Diffusion Models | Generative Modeling | JAX | Knowledge Distillation | Lidar | Model profiling | Multi-task Learning | Multimodal Learning | PyTorch | Python | Quantization | Radar | Reinforcement Learning | Representation Learning | Sensor fusion | Spatial Tokenization | TensorRT | Transformers
Education
N/A
Regions
Countries
States
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