Senior AI Research Engineer
Tasks
- Bridge research and production engineering teams
- Build distributed training for machine learning workloads
- Implement automated deployment systems
- Improve development practices and tooling
- Lead projects from concept to delivery
- Maintain technical documentation
- Manage model tracking and evaluation workflows
- Mentor team members and share technical knowledge
- Optimize simulators and training pipelines
- Orchestrate machine learning experiments
- Own and evolve research infrastructure
- Profile and remove performance bottlenecks
- Support scalable cloud infrastructure management
Perks/Benefits
- Company provided MacBook
- Dental insurance
- Flexible stipends
- Flexible time zones
- Fully remote work
- Medical insurance
- Paid parental leave
- Training programs
- Unlimited paid time off
- Vision insurance
Skills/Tech-stack
C++ | Cloud infrastructure | Control Systems | Deployment | Distributed Training | Docker | Experiment tracking | Kubernetes | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Lifecycle | Model Lifecycle Management | Multi Node GPU | Multi-node | NumPy | Optimization | Pandas | Profiling | PyTorch | Python | Ray | Reinforcement Learning | Rust | SciPy | Scikit-learn | Simulation
Education
N/A
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