Pinterest
Direct employer career site

Staff Machine Learning Engineer, Ads Bidding & Pacing

Pay
$222,716 – $389,753 per year
Location
San Francisco, CA · Hybrid
Job type
Full-time
Level
Lead / Staff
Experience
6+ years
Education
Bachelor's degree
Listed
14 days ago

Skills & highlights for this role

  • Machine learning
  • Ads delivery or ads marketplace experience
  • Automatic bidding or pacing
  • Target ROAS bidding
  • Bid landscape analysis
  • A/B experimentation
  • Staff-level individual contributor technical leadership
  • Cross-team collaboration
  • Use of AI tools to improve development workflow

Also useful

  • Direct bidding or pacing experience
  • Experience with Cursor, Copilot, Codex, or similar AI coding assistants
  • Familiarity with LLM-powered productivity tools for experiment analysis and SQL/data exploration

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.
  • Degree in Computer Science, Statistics, or a related field.
  • Direct experience specifically with bidding or pacing is a big plus.
  • Bachelor's degree in computer science, statistics, engineering, or
  • 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.
  • Relocation Statement: This position is not eligible for relocation assistance. Visit our
  • PinFlex page to learn more about our working model.

In-Office Requirement Statement

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration
  • 3 times per quarter and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.
  • #LI-HYRBID
  • #LI-SM4

Pay and benefits

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only $222,716—$389,753 USD

Our Commitment to Inclusion

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. 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.

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. Creating a career you love? It’s Possible.

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.

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.

Pinterest is one of the fastest growing online ad platforms, and our success depends on building a suite of bid strategies that help advertisers achieve their goals within the Pinterest marketplace.

We support both automatic bidding (maximizes the number of clicks, conversions and GMV) as well as target average bidding (CPA or ROAS targets) for Pinterest ads. 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, growing Pinterest’s revenue stream.

Read the original posting

From Pinterest's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Staff Machine Learning Engineer, Ads Bidding & Pacing role at Pinterest, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

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Common questions

What is the salary for the Staff Machine Learning Engineer, Ads Bidding & Pacing role at Pinterest?

The Staff Machine Learning Engineer, Ads Bidding & Pacing posting at Pinterest states compensation of $222,716 – $389,753 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Pinterest's official career site.

Where is the Staff Machine Learning Engineer, Ads Bidding & Pacing job at Pinterest located?

This Staff Machine Learning Engineer, Ads Bidding & Pacing position at Pinterest is located in San Francisco, CA (Hybrid). Always check Pinterest's application page for specific state eligibility or relocation policies.

What qualifications are required for Staff Machine Learning Engineer, Ads Bidding & Pacing at Pinterest?

For the Staff Machine Learning Engineer, Ads Bidding & Pacing role, Pinterest highlights 6+ years of relevant experience; a bachelor's degree; experience with Machine learning, Ads delivery or ads marketplace experience, Automatic bidding or pacing, Target ROAS bidding, Bid landscape analysis, A/B experimentation. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Staff Machine Learning Engineer, Ads Bidding & Pacing position at Pinterest?

This listing links directly to Pinterest's application page. You can apply directly on Pinterest's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.