Staff Machine Learning Engineer, Ads Bidding & Pacing

Pinterest
Seattle, WA, United States
3 days ago
Apply on diversityjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$222,716.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Cursor Software Debugging Machine Learning Microsoft Copilot SQL Databases Large Language Models AI Coding Agents Information Technology Code Restructuring

Job description

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.

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.
  • 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.

About the company

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 theflexibility 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 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., 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: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis form for support. By submitting this application, I certify

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

5:20 min

Evaluating the valuation of Cursor and developer ecosystem lock-in

Chris Heilmann Chris Heilmann +2 · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

3:22 min

Creating dedicated AI assistants for advanced candidate sourcing

José Kadlec José Kadlec · World Congress 2025

2:27 min

Addressing distributed database latency in driving cursors

Tomasz Woznica Tomasz Woznica · World Congress 2026 Europe

2:37 min

Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · World Congress 2026 Europe

Videos

See all

Related articles

See all