Staff ML Engineer - Ads Bidding & ROAS Optimization

San Francisco (CA)

On-site

USD 223,000 - 390,000

Full time

3 days ago

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Job summary

Pinterest is seeking an ML engineer with experience in ads delivery and automatic bidding to design data-driven bidding techniques and improve ROI for advertisers. The role focuses on ROAS targets, bidding strategies, and pacing to maximize revenue within the Pinterest marketplace.

You will collaborate with product and sales teams, run A/B experiments, and leverage AI coding assistants to validate outputs. The position requires a strong technical leadership track record and a passion for

Qualifications

Bachelor’s degree in CS, stats, or related field.
6+ years in ads delivery, bidding/pacing or ML.
Staff-level IC with cross-team alignment.
Proven AI-assisted workflow improvement experience.
Experience with AI coding assistants (Cursor/Copilot/Codex).

Responsibilities

Design ROAS targets and automatic bidding/pacing algorithms for ads.
Explore bid landscapes to maximize revenue and advertiser value.
Collaborate with product and sales to design bidding strategies for new ad products.
A/B test bidding algorithm improvements.
Collaborate with teams to identify bidding and budgeting opportunities.