Senior AI Research Engineer
Tasks
- Automate deployment systems
- Build distributed computing solutions for machine learning workloads
- Enable research to production systems
- Improve development practices and infrastructure for faster deployment
- Lead technical projects from concept to delivery
- Maintain documentation of research and engineering decisions
- Mentor team members and share technical knowledge
- Optimize simulators and training pipelines
- Orchestrate experiments
- Own and evolve research infrastructure end to end
- Profile and remove performance bottlenecks
- Run distributed training
- Track and evaluate models
Perks/Benefits
- Company provided MacBook
- Flexible stipends
- Fully remote flexibility
- Medical, dental, and vision insurance
- Paid parental leave
- Training programs
- Unlimited paid time off
Skills/Tech-stack
C++ | Cloud infrastructure | Control Systems | Data Pipelines | Deployment | Distributed Computing | Distributed Training | Docker | Experiment tracking | GPU Workloads | Kubernetes | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Lifecycle | Model Lifecycle Management | Multi-node | Multi-node Training | NumPy | Optimization | Pandas | PyTorch | Python | Ray | Reinforcement Learning | Rust | SciPy | Scikit-learn | Simulation
Education
N/A
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