Design and build core backend components for efficient, scalable systems
Conduct design/code reviews and collaborate with cross-functional teams
Optimize infrastructure efficiency for AI workloads (compute, storage, networking)

🎯 Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or related field
3+ years experience working in ML infra (PyTorch, Vertex AI, SageMaker, etc.)
Experience building, scaling, and optimizing enterprise-grade ML systems
Master’s or PhD in CS/related field, or equivalent practical experience

🎁 Benefits

Solve hard AI infrastructure problems at scale
Build bleeding-edge tech used by businesses worldwide
Ownership and impact in a fast-growing, results-driven team
Learn from world-class engineers and researchers

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