Specialty
The role
Pinterest is hiring an Engineering Manager for its Content Foundation ML team, which builds signals that capture the meaning of Pinterest content for Discovery, Search, Growth and Ads. The manager leads engineers and applied scientists. US-based applicants only.
What you will do
- Lead, mentor and grow engineers and applied scientists building content understanding signals and infrastructure
- Set a long-term technical vision for semantic signal generation and reusable foundational layers
- Plan roadmaps, manage risks and report progress to stakeholders
- Use VLM and LLM technology to generate signals with strong precision, recall and multi-locale coverage
- Improve inference throughput, freshness and serving efficiency for new Pins
- Build monitoring and evaluation systems to keep signal quality high
What they ask for
- 7+ years of industry experience, including 2+ years managing
- Master's degree in computer science or equivalent work experience
- Publications at top ML and data mining venues such as NeurIPS, ICML, KDD or SIGIR
- Experience with large-scale distributed training and inference of LLM and VLM models
- Experience with ML data pipeline tools such as Hadoop or Spark
- Technical leadership across ML and data systems with multi-quarter roadmaps
- Based in the US; office visits 1-2 times per quarter
What they offer
- Eligible for equity in addition to base salary
- Remote working with occasional in-person gatherings
This is our own short reading of the posting. The full description, and anything that has changed since, is on Pinterest's careers page behind the apply button.
