Senior AI Research Engineer
Tasks
- Automate deployment systems
- Build distributed computing for machine learning workloads
- Collaborate with researchers and cross-functional teams
- Design data pipelines
- Implement scalable research solutions
- Improve engineering tooling and infrastructure
- Lead technical projects from concept to delivery
- Maintain technical documentation
- Manage multi node GPU environments
- Mentor engineers and share knowledge
- Optimize simulators and training pipelines
- Orchestrate experiments
- Own research infrastructure end to end
- Profile and remove performance bottlenecks
- Run distributed training
- Support deployment of intelligent control technologies
- Track models and evaluations
- Transform AI experiments into production systems
Perks/Benefits
- Company provided MacBook
- Equity participation
- Flexible stipends
- Flexible time zones
- Fully remote work
- 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 | Kubernetes | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Lifecycle | Model Lifecycle Management | NumPy | Pandas | Performance Engineering | Profiling | PyTorch | Python | Ray | Reinforcement Learning | Rust | SciPy | Scikit-learn | Simulation
Education
N/A
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