Software Engineer, Infrastructure

Стек

Бесплатно. Вход по почте.

Откликнуться

Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.

Описание

The ML Infra team is focusing on ML Infra performance and efficiency for both large-scale AI training and inference workflows in the recommendation domain. In this role, you will work on optimizing the end-to-end stack for model training and inference for large-scale recommendation models, with opportunities coming from the domains of distributed systems, model/system co-design, GPU optimizations, and more. While the core of day-to-day work and key responsibility will be to identify and lead the execution for short/mid-term opportunities for efficiency optimization, you will also drive long-term strategies and shape team direction on things like model/system co-design, performance automation, regression detection and mitigation, etc. Responsibilities Identify performance opportunities and bottlenecks across a wide range of recommendation models, infrastructure and systems Implement changes to capture efficiency improvements Guide other engineers both inside and outside the team to execute on efficiency and performance opportunities, issues and bottlenecks Drive cross-functional collaborations and alignments with multiple partner or product ML teams Define technical direction(s), strategy and roadmap for the team Provide mentorship and guidance to grow other teammates Minimum Qualifications BS/MS in Electrical Engineering, Computer Science or a related field or equivalent experience 5+ years of experience in AI Infra or System performance Hands-on experience in optimizing comp

Полное описание, компания и ссылка на вакансию — после входа. Войти

Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.