Staff Machine Learning Engineer, Ads Bidding & Pacing

About the Role

Pinterest is looking for an ML engineer with experience in ads delivery, machine learning, bid landscapes, and automatic bidding / ads pacing to develop new data-driven techniques to drive ads delivery performance and maximum ROI for advertisers, growing Pinterest’s revenue stream.

What you'll do

• Design target ROAS and automatic bidding & pacing algorithms for ads.
• Explore bid landscapes to maximize revenue and advertiser value.
• Work with product and sales teams to design and implement bidding strategies for new ad products.
• A/B Experiment with bidding algorithm improvement ideas.
• Collaborate with other teams to identify bidding and budgeting opportunities and capitalize on them.

What we're looking for

• Bachelor's degree in Computer Science, Statistics, a related field, or equivalent experience.
• 6+ years of industry experience in ads delivery, automatic bidding / pacing, target ROAS bidding, ads marketplace / utility, or machine learning.
• Proven Staff-level technical leadership as an IC: driving technical direction and cross-team alignment without formal people management.
• Demonstrated ability to use AI to improve speed and quality of your workflow, with a strong track record of validating and stress-testing AI-assisted outputs.
• Direct experience specifically with bidding or pacing is a big plus.
• Experience with AI coding assistants (e.g. Cursor, Copilot, Codex) for development, debugging, testing, and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

Location & Working Model

• This role needs to be in the office for in-person collaboration 3 times per quarter and within commutable distance from San Francisco, Palo Alto, or Seattle offices.