Create flexible, performant ML infrastructure
Design ML cloud infra for massive-scale modeling and analytics
Support model exploration, hyperparameter optimization, pretraining and fine-tuning
Build scalable distributed training pipelines (sharding, cross-GPU)
Create, operate, and maintain ML platforms across the model lifecycle
Make architecture decisions balancing performance, cost, reliability, and scalability

🎯 Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or related
5+ years in software engineering, large-scale data infrastructure, or systems ML
Extensive proficiency in Python
Familiarity with PyTorch
Experience with distributed-training frameworks (FSDP, DeepSpeed, Megatron-LM, Ray)
Experience building or optimizing ML training pipelines for transformers or large neural-network models

🎁 Benefits

Collaborative, high-impact environment
Comprehensive benefits package
401(k) plan with matching contributions

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