# Staff Machine Learning Engineer, Programmatic Ads

**Company**: Pinterest
**Location**: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $222,716-$389,753 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7494765?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8ea46a1f-636

## 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.

## Skills

### Required
- Machine Learning
- Real-time Bidding
- Ad Scoring/Ranking
- Inventory Selection
- Yield Optimization
- Control/Optimization Algorithms
- Probabilistic Modeling
- Measurement
- AI-Assisted Workflow

### Nice to have
- Cursor
- Copilot
- Codex
- LLM-Powered Productivity Tools

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/7494765?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)