Senior AI Research Engineer
Tasks
- Apply reinforcement learning
- Automate model deployment
- Build AI control systems
- Build distributed compute pipelines
- Convert sensor data to actions
- Maintain research and product documentation
- Manage GPU capacity
- Mentor peers and delegate tasks
- Orchestrate experiments
- Profile and optimize performance
- Serve as point of contact between research and production
- Track models and evaluate results
- Train distributed models
- Vectorize and parallelize simulators
Perks/Benefits
- Flexible workspace stipend
- Medical/Dental/Vision insurance
- Paid parental leave
- Remote work
- Training
- Unlimited paid time off
Skills/Tech-stack
Control Systems | Distributed Training | Docker | Experiment tracking | GCP | Kubernetes | MLflow | Model Deployment | Model Registry | NumPy | Pandas | Parallel Computing | Performance Engineering | Profiling | PyTorch | Python | Ray | Reinforcement Learning | SciPy | Scikit-learn | Simulation | Vectorization
Education
N/A
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