# Staff Machine Learning Engineer, Ads Bidding & Pacing

**Company**: Pinterest
**Location**: San Francisco, CA
**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/8238679?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a1d87b0f-895

## Description

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact. 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.

Responsibilities:

- 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.

- Direct experience specifically with bidding or pacing is a big plus.

- 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.

Benefits:

- Base salary range: $222,716-$389,753 USD

- Equity eligibility

- In-office collaboration required 3 times per quarter

## Skills

### Required
- Machine Learning
- Ads Delivery
- Automatic Bidding
- Pacing
- Bid Landscapes
- ROAS Bidding

### Nice to have
- Cursor
- Copilot
- Codex
- AI coding assistants
- LLM-powered productivity tools

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8238679?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)