5 hours ago
Base Salary
$223k - $390k/yr
Responsibilities
- Lead the technical direction and development of applied machine learning projects for ads conversion.
- Design and build large-scale, low-latency DNN models for user action prediction.
- Mine text, visual, and user signals to understand intention and infer interests from online activity.
- Use AI tools to accelerate analysis, iteration, documentation, reporting, QA checks, debugging, testing, and refactoring while verifying results.
- Coach and mentor engineers and collaborate with product and sales teams on new ad products.
Requirements
- Bachelor’s degree in Computer Science, Statistics, or a related field.
- At least 6 years of industry experience building production ML systems at scale in Search, Recommendations, or Ranking.
- At least 2 years of experience leading technical projects or teams.
- Experience using AI to improve speed and quality in day-to-day work and experience with Cursor, Copilot, Codex, or similar AI coding assistants.
- Familiarity with LLM-powered tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
- Strong mathematical foundation and experience with statistical methods and A/B testing.
- Demonstrated integrity, ownership, data protection, and accountability for final deliverables.
Benefits
- Eligible for equity in addition to the base salary range.
- Hybrid arrangement requiring in-office collaboration 1–2 times per month within commuting distance of San Francisco, Palo Alto, or Seattle.
- Not eligible for relocation assistance.
Tech Stack
Categories
About Pinterest
Pinterest builds a visual discovery and bookmarking platform where people search, save, and shop ideas across home, fashion, food, and more. The company monetizes primarily through advertising and shopping integrations, using visual search and recommendation systems to connect users and merchants. Founded in 2010 and headquartered in San Francisco, Pinterest is a public company on the NYSE (PINS) with around 482 million monthly users worldwide.