New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →
Pinterest

Staff Machine Learning Engineer, Programmatic Ads

Pinterest
Apply →
hybrid staff full-time $222,716-$389,753 USD San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

First indexed 20 May 2026

Description

We're looking for a Staff Machine Learning Engineer to join our Programmatic Ads team. As a key member of our team, you will design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection, and yield optimization across multiple exchanges. You will own end-to-end ML systems, including problem framing, metrics, data/feature design, model training, evaluation, and online experimentation. You will also introduce and productionize new exchange and supply signals to unlock incremental advertiser value.

Industry experience building and shipping large-scale production ML systems in ads, search, recommendations, or related domains is required. You should have deep experience with control/optimization algorithms for bidding, pacing, allocation, or similar marketplace problems. You should also have strength in probabilistic modeling and measurement, and making principled trade-offs between coverage, accuracy, and impact.

As a Staff-level technical leader, you will drive technical direction and cross-team alignment without formal people management. You should have 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.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/pinterest/jobs/7494765