Senior 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 long tail scenarios
- Build interactive world models from multi sensor logs
- Develop reinforcement learning techniques for trajectory planning
- Distill and deploy multimodal models for vehicle actuation
- Distill quantize and optimize models for low latency edge deployment
- Implement active learning workflows for training data
- Process and structure multi sensor driving logs for behavior model training
- Profile inference pipelines and eliminate bottlenecks
Perks/Benefits
- 401k
- Commuter benefits
- Dental insurance
- Disability insurance
- Equity
- Flexible spending account
- Flexible time off
- Health insurance
- Health savings account
- Life insurance
- Paid Holidays
- Paid parental leave
- Sick time
- Vision insurance
Skills/Tech-stack
Accelerated inference | Active Learning | BEV | Birds Eye View | C++ | CUDA | CUDA runtime | Computer Vision | Data Engineering | Data Mining | Diffusion Models | Embedded Systems | Generative Modeling | Hardware-accelerated inference | JAX | Knowledge Distillation | Model Optimization | Multimodal Learning | Profiling | PyTorch | Python | Quantization | Reinforcement Learning | Representation Learning | Sensor fusion | Series analysis | TensorRT | Time Series | Time Series Analysis | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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