Staff Machine Learning Engineer, Ads Conversion

San Francisco, California, USA · Staff+ · full-time

Sponsorship not specified$223k-$390kDetected 57 days ago

SQLMachine LearningLLMsMLOpsStatisticsCollaboration

About the role

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.
You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion.
Design and build large-scale DNN models to improve user action prediction with low latency.
Coach and mentor engineers while collaborating with product and sales to design new ad products.
At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that.
To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Degree in Computer Science, Statistics, or a related field.
2+ years of experience leading technical projects or teams.
Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
Familiarity with LLM-powered productivity 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.

We are looking for a Staff MLE to lead the technical vision for our Ads Advanced Conversion Modeling team, building the state-of-the-art systems that power our global marketplace.

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.

This listing is sourced directly from Pinterest's careers page and normalized into a canonical job model.