What's the salary range?

Pinterest lists $222,716–$389,753 for this role.

How much experience is required?

At least 6 years of relevant experience for this Staff Machine Learning Engineer, Ads Bidding & Pacing role.

Where is the role based?

Pinterest is hiring for this position in San Francisco, CA, United States.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Automatic Bidding, Machine Learning, Pacing Algorithms.

What seniority level is this role?

Pinterest targets staff-level candidates for this position.

Staff Machine Learning Engineer, Ads Bidding & Pacing at Pinterest

Joblaze summary

The Staff Machine Learning Engineer for Ads Bidding & Pacing at Pinterest focuses on designing and implementing algorithms that optimize bidding strategies for advertising. This role requires expertise in machine learning, ads delivery, and automatic bidding, along with a strong technical leadership background. Ideal candidates will have over six years of relevant experience and a solid understanding of AI tools to enhance workflow efficiency. Pinterest's fast-paced environment emphasizes collaboration across teams to drive revenue growth through innovative ad solutions.

Joblaze insights

Listed yesterday — first seen on Joblaze October 1, 2026. Last confirmed on Pinterest's careers page October 1, 2026.
Salary band is above the typical range for AI/ML roles (median ~$190,000).
Starts above 44% of 54 comparable staff ai/ml roles in United States that list AI/ML we track (median $229,000 across 25 companies). See AI/ML salary trends
AI/ML appears in 32.8% of 265 comparable staff ai/ml roles in United States; Machine Learning appears in 17.4% of 265 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Machine Learning Engineer, Ads Bidding & Pacing role remote?: It's hybrid — Pinterest expects some on-site time in San Francisco, CA, United States.
What's the salary range?: Pinterest lists $222,716–$389,753 for this role.
How much experience is required?: At least 6 years of relevant experience for this Staff Machine Learning Engineer, Ads Bidding & Pacing role.
Where is the role based?: Pinterest is hiring for this position in San Francisco, CA, United States.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Automatic Bidding, Machine Learning, Pacing Algorithms.
What seniority level is this role?: Pinterest targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Machine Learning Engineer, Ads Bidding & Pacing role at Pinterest.

From the original posting

About Pinterest:

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.

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.

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

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.

US based applicants only

$222,716—$389,753 USD

Our Commitment to Inclusion:

Standard company text repeated across Pinterest's postings is omitted here.

Staff Machine Learning Engineer, Ads Bidding & Pacing

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