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HomeCompaniesPinterestStaff Machine Learning Engineer, Programmatic Ads

Staff Machine Learning Engineer, Programmatic Ads

Pinterest · San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US · On Site · Active · Greenhouse

Job facts

FieldValue
CompanyPinterest
TitleStaff Machine Learning Engineer, Programmatic Ads
Normalized title-
Department / teamMonetization
LocationSan Francisco, United States
Work modelOn Site
Employment typeRegular
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-19 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Pinterest.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Monetization.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPinterest
Source62fbc0b4-dfc4-45d7-9b9e-0e0c3607d145
ATS providerGreenhouse

Description

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 building a new Programmatic Ads ML team to bring in exchange-sourced ads demand and supply. We’re looking for a Staff ML engineer to develop core bidding and ranking systems that help us optimally buy and sell inventory across exchanges, driving strong ROI for advertisers and growing a critical revenue stream for Pinterest. What you’ll do: Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection, and yield optimization across multiple exchanges. Own end-to-end ML systems: problem framing, metrics, data/feature design, model training, evaluation, and online experimentation. Introduce and productionize new exchange and supply signals (e.g., quality, conversions, identity, fraud, content understanding) to unlock incremental advertiser value. Partner closely with Ads Ranking & Bidding, Measurement, and Programmatic Engineering to integrate new models and objectives into the ads stack. Use AI to accelerate analysis, experimentation, and iteration (e.g., exploring model variants, automating path from learnings to launch) while applying strong judgment and vision. What we’re looking for Industry experience building and shipping large-scale production ML systems in ads, search, recommendations, or related domains. Deep experience with control/optimization algorithms for bidding, pacing, allocation, or similar marketplace problems. Strength in probabilistic modeling and measurement (e.g., quality/fraud signals, deep-learning engagement prediction) and making principled trade-offs between coverage, accuracy, and impact. 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. 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-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. 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 complete this form for support.

Full job record

Job IDcd16383d00c53915530b5d05a5361d3139b9b4d0
Org ID68544bae-1557-4db5-b833-4214810445b5
Source ID62fbc0b4-dfc4-45d7-9b9e-0e0c3607d145
Board ID62fbc0b4-dfc4-45d7-9b9e-0e0c3607d145
Providergreenhouse
Provider Job Key7494765
TitleStaff Machine Learning Engineer, Programmatic Ads
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
DepartmentMonetization
Team
Employment TypeRegular
Workplace Typeon_site
Remote Policy
CountryUnited States
Region
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.pinterestcareers.com/jobs/?gh_jid=7494765
Apply URLhttps://www.pinterestcareers.com/jobs/?gh_jid=7494765
First Seen At2026-05-29 22:41:39Z
Last Seen At2026-06-06 20:31:24Z
Last Checked At2026-06-06 20:31:24Z
Last Changed At2026-06-06 07:33:26Z
Inactive At
Source Posted At2026-05-19 21:22:51Z
Source Updated At2026-06-04 20:28:57Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=pinterest/date=2026-06-06/2026-06-06T20-31-24-275Z-255944a9c48855edc4f4ddf76179e2d3bc0d817e3d1da4855f65650bba2f81ee.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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  "company_name": "Pinterest",
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  "first_published": "2026-05-19T17:22:51-04:00",
  "application_deadline": null
}
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