Opportunity at
PinterestStaff Machine Learning Engineer, Ads Bidding & Pacing
Pinterest is seeking a Staff Machine Learning Engineer to join its Ads Bidding and Pacing team. The platform operates one of the fastest-growing online advertising networks,…
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About This Role
Pinterest is seeking a Staff Machine Learning Engineer to join its Ads Bidding and Pacing team. The platform operates one of the fastest-growing online advertising networks, helping millions of users discover creative concepts while enabling advertisers to reach their target audiences effectively. This position focuses on developing data-driven algorithms to maximize return on ad spend, improve advertisement delivery performance, and drive company revenue. This role is well-suited for a senior…
Job Description
Pinterest is seeking a Staff Machine Learning Engineer to join its Ads Bidding and Pacing team. The platform operates one of the fastest-growing online advertising networks, helping millions of users discover creative concepts while enabling advertisers to reach their target audiences effectively. This position focuses on developing data-driven algorithms to maximize return on ad spend, improve advertisement delivery performance, and drive company revenue.
This role is well-suited for a senior individual contributor with strong technical leadership skills and a background in ads delivery, marketplace dynamics, or automated bidding systems. The selected engineer will design target return on ad spend as well as automatic bidding and pacing algorithms, analyze bid landscapes, and run experimentation cycles to refine performance. They will also partner closely with product and sales groups to build bidding strategies for emerging advertising products and identify new budgeting opportunities.
Pinterest operates under a flexible working model called PinFlex, though this specific position requires in-office attendance for collaborative purposes three times per quarter. Candidates must reside within commuting distance of company offices in San Francisco, Palo Alto, or Seattle. The compensation package includes a base salary range alongside equity eligibility. Pinterest is an equal opportunity employer committed to an inclusive and equitable workplace environment.
Responsibilities
- Design automated bidding, pacing, and target return on ad spend algorithms for advertisements
- Analyze bid landscapes to optimize revenue and advertiser value
- Partner with product and sales units to create bidding strategies for new advertising offerings
- Conduct A/B experiments to test and improve algorithm enhancements
- Collaborate across departments to spot and capitalize on budgeting and bidding opportunities
Requirements
- Six or more years of professional industry background in machine learning, ads delivery, automated bidding, pacing, target return on ad spend, or ads marketplaces
- Demonstrated Staff-level individual contributor technical leadership, guiding technical direction and cross-team alignment without formal people management duties
- Ability to utilize artificial intelligence to accelerate workflow speed and quality while stress-testing AI-assisted outputs
- Experience using AI coding assistants such as Cursor, Copilot, or Codex for development, debugging, testing, and refactoring
- Familiarity with large language model productivity tools for documentation search, data exploration, and workflow acceleration
- Requirement to work from the office for collaboration three times per quarter, living within commuting distance of San Francisco, Palo Alto, or Seattle
Qualifications
- Bachelor's degree in Computer Science, Statistics, engineering, or a related field
- Direct hands-on experience specifically involving bidding or pacing
Core Skills
Benefits
- Base salary range between $222,716 and $389,753 USD for United States-based applicants
- Eligibility for company equity
Frequently Asked Questions
What is the location or remote work policy for this position?
The posting does not specify a fully remote arrangement. The role requires working from the office for in-person collaboration three times per quarter, and candidates must live within a commutable distance from Pinterest offices in San Francisco, Palo Alto, or Seattle.
What is the salary range for this role?
For United States-based applicants, the base salary range is $222,716 to $389,753 USD, and the position is also eligible for equity.
What level of experience is required?
Candidates must have at least six years of industry experience in machine learning, ads delivery, automatic bidding and pacing, target ROAS bidding, or ads marketplaces, along with proven Staff-level technical leadership as an individual contributor.
Is relocation assistance available?
No, this position is not eligible for relocation assistance.
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