Poolside - Member of Engineering (Pre-training / Data Engineering)
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Requirements
• Strong background in building production-grade, distributed data systems for machine learning, with experience in: • Orchestration: Slurm, Airflow, or Dagster • Observability & Reliability: CI/CD, Grafana, Prometheus, etc. • Infra: Git, Docker, k8s, cloud managed services • Batch inference (ex: vLLM) • Performance obsession, especially with large-scale GPU clusters and distributed pipelines • Expert-level python knowledge and ability to write clean and maintainable code • Strong algorithmic foundations • Proficiency with libraries like Polars, Dask, or PySpark • Experience in building trillion-scale SOTA pretraining datasets • Experience translating research to production at scale • Experience with OCR, web crawling, or evals • PROCESS • PROCESS • Technical Interview(s) with one of our Founding Engineers • Team fit call with the People team • Final interview with one of our Founding Engineers
Responsibilities
• Build and maintain high-performance pipelines for trillions of tokens. • Deliver diverse and high quality datasets for pre-training foundation models. • Closely work with other teams such as Pretraining, Posttraining, Evals and Product to to ensure alignment on the quality of the models delivered.
Benefits
• Fully remote work & flexible hours • 37 days/year of vacation & holidays • Health insurance allowance for you & dependents • Company-provided equipment • Well-being, always-be-learning & home office allowances • Frequent team get togethers • Diverse & inclusive people-first culture
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