Design implement maintain scalable data platforms support diverse R&D applied ML workloads partner ML researchers product engineers operations teams align data infrastructure organizational goals collaborate ML researchers build data access tools advance frontier post-training research participate team’s on call process ensure availability services own projects end-to-end requirements scoping design implementation highly collaborative cross-functional environment.

2+ years experience building operating large-scale distributed data systems support ML workloads expertise modern data platform technologies experience containerization deployment Kubernetes Helm Terraform Docker strong problem solving work effectively fast paced dynamic environment nice haves familiarity ML development tools PyTorch HuggingFace Weights & Biases experience storage systems object S3 document MongoDB relational Postgres distributed Redis Elasticsearch exposure orchestration platforms Temporal Airflow AWS Step Functions experience post-training workflows evaluation fine-tuning RLHF LLM systems startup high-scale ML infrastructure environment.

- Base salary range full-time position San Francisco New York Seattle $188000—$225600 USD - Compensation packages base salary equity benefits - Benefits comprehensive health dental vision coverage retirement benefits learning development stipend generous PTO possible commuter stipend