Senior AI Research Engineer
Tasks
- Build scalable distributed computing for machine learning workloads
- Design experiment orchestration and distributed training workflows
- Implement model tracking evaluation and automated deployment systems
- Improve engineering tooling and infrastructure for AI research and deployment
- Lead technical projects from concept to delivery
- Maintain documentation for research and operational processes
- Mentor team members and share technical knowledge
- Optimize simulators training pipelines and performance bottlenecks
- Own and evolve AI research infrastructure end to end
- Profile systems and improve research development velocity
- Translate AI research to production ready reliable systems
Perks/Benefits
- Company-provided laptop
- Flexible stipends
- Fully remote
- Medical, dental, and vision insurance
- Paid parental leave
- Training programs
- Unlimited paid time off
Skills/Tech-stack
C++ | Cloud infrastructure | Deployment | Distributed Computing | Distributed Training | Docker | Experiment tracking | GPU Workloads | Kubernetes | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Lifecycle | Model Lifecycle Management | NumPy | Pandas | PyTorch | Python | Ray | Rust | SciPy | Scikit-learn
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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