Jobs / United States / Pinterest INC

Staff Machine Learning Engineer, Ads Bidding & Pacing

Pinterest INC · 🇺🇸 San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 218 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 53 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Pinterest INC paid sponsored hires in similar roles28 certified filings for “Machine Learning Engineer II” (Data Scientists) in CA: $174k–$225k, median $174k. Most were filed at wage level II (54%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Sponsor Radar — Pinterest INC

218 H-1B filings certified since Oct 2025

The US Department of Labor certified 218 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 53 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Pinterest INC →

About the role

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. 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 th

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Source: Greenhouse (employer board) First seen: 2026-10-01 Last confirmed: 2026-10-03 How our data works → Report this job

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