Engineering Manager II – Ads ML Training Infrastructure
| Company | |
|---|---|
| Location | Palo Alto, CA, USA, Seattle, WA, USA, San Francisco, CA, USA |
| Salary | $200436 – $350763 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
- 2+ years of management experience, or tech lead experiences in 8+ people team (3+ years).
- 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems. Such as feature store, model serving or training framework.
- Deep knowledge with building distributed systems or recommendation infrastructure.
- Strong cross-functional collaborator and communicator.
- Strong people development skills. You have helped people grow in their careers.
Responsibilities
- Collaborate with stakeholders and partner teams across the organization to architect ads ML infrastructure solutions to unlock Pinterest ads models innovations.
- Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.
- Lead the team to build the next-generation Pinterest Ads ML foundations. Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.
- Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.
Preferred Qualifications
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No preferred qualifications provided.