Senior AI Research Engineer
Tasks
- Build distributed training systems
- Deploy models with automated systems
- Implement experiment tracking and evaluation workflows
- Improve development practices and tooling
- Lead technical projects from concept to delivery
- Maintain technical documentation
- Mentor team members
- Optimize machine learning training pipelines
- Orchestrate experiments
- Own research infrastructure end to end
- Profile and remove performance bottlenecks
- Scale simulators for research workflows
- Transform research prototypes into production systems
Perks/Benefits
- Company-provided laptop
- Flexible stipends
- Fully remote work
- Medical/Dental/Vision insurance
- Paid parental leave
- Training programs
- Unlimited paid time off
Skills/Tech-stack
C++ | Cloud infrastructure | Control Systems | Deployment | Distributed Computing | Distributed Training | Docker | Experiment tracking | GPU Workloads | Kubernetes | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Lifecycle | Model Lifecycle Management | Multi Node GPU | Multi-node | NumPy | Optimization | Pandas | Performance Engineering | Profiling | PyTorch | Python | Ray | Reinforcement Learning | Rust | SciPy | Scikit-learn | Simulation
Education
N/A
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