Senior AI Research Engineer
Tasks
- Automate model deployment systems
- Build and scale distributed training systems
- Implement model tracking and evaluation workflows
- Lead technical projects from concept to delivery
- Maintain technical documentation
- Mentor engineers and share technical knowledge
- Optimize simulators and training pipelines
- Orchestrate machine learning experiments
- Own and evolve AI research infrastructure end to end
- Profile and resolve performance bottlenecks
- Support research to production engineering bridge
Perks/Benefits
- Company-provided laptop
- Equity participation
- Flexible stipends
- Fully remote work
- Health insurance
- Paid parental leave
- Training programs
- Unlimited paid time off
Skills/Tech-stack
C++ | Cloud infrastructure | Control Systems | Data Pipelines | Deployment | Distributed Computing | 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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