ML Infrastructure Engineer
Palo Alto, California, United States
USD 180K-440K Senior-level Full Time
Tasks
- Build ML training frameworks
- Build experimentation tools
- Design GPU compute infrastructure
- Develop data pipelines
- Ensure ML system scalability reliability efficiency
- Integrate large scale training and inference
- Mentor junior engineers
- Productionize machine learning models
- Solve full stack ML infrastructure problems independently
Perks/Benefits
- 401k retirement plan
- Dental coverage
- Disability insurance
- Employee discounts
- Life insurance
- Medical coverage
- Vision coverage
Skills/Tech-stack
Ansible | C++ | CUDA | Configuration Management | Data Pipelines | Deep learning | Distributed Storage | Distributed Systems | GPU Compute | Inference Systems | JAX | Job Scheduling | Learning platforms | Linux | Machine Learning | Machine Learning Platforms | NVIDIA drivers | Networking | Orchestration | Puppet | PyTorch | Python | Rust | Slurm | Training Infrastructure
Education
Bachelor of Science | Master of Science | PhD | Post-graduate
Regions
Countries
States
Cities
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