Staff Machine Learning Engineer, Ads Bidding & Pacing

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact. We're 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.

Responsibilities:

• 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.

Requirements:

• 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 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.

Benefits:

• Base salary range: $222,716-$389,753 USD
• Equity eligibility
• In-office collaboration required 3 times per quarter