Cursor6 дней назад
Software Engineer, ML Platform
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РЫНОК
16 333 ₽медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
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Полная занятостьОфис
Обязанности
- 01Build the infrastructure that turns real product usage into better models and keeps research moving fast on large GPU fleets
- 02Design, build, and operate core platform systems used daily by ML researchers and product engineers
- 03Partner closely with research to turn recurring pain into durable infrastructure
- 04Own reliability, performance, and developer experience for the systems in your lane
- 05Ship iteratively in a flat, high-ownership environment, measure impact, then raise the bar
- 06Own the collection and serving path that turns real product use into a record research can trust, without slowing the product, and under a small, explicit policy
- 07Build the shared environments and pipeline substrate researchers extend, so new experiments don’t fork their own stack
- 08Make it easy for researchers to start, watch, and debug their own runs
- 09Shorten the path from idea to a trusted run on the research fleet
Требования
- 01Strong background in systems / infrastructure software engineering
- 02Experience building platforms other engineers depend on
- 03Owned production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar)
- 04Comfortable across Linux, cloud and/or bare metal
- 05Experience with modern orchestration (Kubernetes, Ray, or equivalent)
- 06Like working closely with ML researchers and product engineers
- 07Thrive where ownership is high and the feedback loop is short
Условия
- 01In-person work
- 02Cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York
- 03Well-stocked libraries
- 04Flat, high-ownership environment
- 05Small and talent-dense team