Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning
Tasks
- Analyze model performance and failure modes
- Build scalable training evaluation inference pipelines
- Collaborate on simulation and validation testing
- Contribute to model architecture decisions
- Debug model behavior using performance metrics
- Deploy learned behavior models
- Design reinforcement learning models
- Develop imitation learning models
- Improve robustness and generalization
- Integrate models into autonomy validation workflows
- Mentor junior engineers
- Own end-to-end model development
- Train and evaluate models on large datasets
Perks/Benefits
- 401k match
- Disability insurance
- Hybrid work
- Life insurance
- Paid holidays office closures
- Paid medical/dental/vision
- Paid vacation
- Remote work
Skills/Tech-stack
Agent systems | Behavior Cloning | Data Ingestion | Debugging | Distributed Training | Graph Neural Networks | Imitation Learning | Large-scale | Large-scale Datasets | Model Evaluation | Model Inference | Motion Planning | Multi-Agent | Multi-Agent Systems | Neural Networks | Policy Networks | PyTorch | Python | RNN | Reinforcement Learning | Sequence Modeling | Simulation | Transformers | Vehicle dynamics
Education
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