Opportunity at
PinterestPrincipal Machine Learning Engineer, Ads Delivery
Pinterest operates a digital platform where users discover creative concepts and plan projects. The company is currently hiring a Principal Machine Learning Engineer, Ads Delivery to…
Career Tools
About This Role
Pinterest operates a digital platform where users discover creative concepts and plan projects. The company is currently hiring a Principal Machine Learning Engineer, Ads Delivery to join its Ads Delivery team. In this position, the professional will shape the evolution of the Pinterest marketplace by linking user aspirations with partner offerings. Responsibilities include designing systems to enhance the advertising delivery funnel, conducting experiments to refine utility functions, developing auction mechanisms,…
Job Description
Pinterest operates a digital platform where users discover creative concepts and plan projects. The company is currently hiring a Principal Machine Learning Engineer, Ads Delivery to join its Ads Delivery team.
In this position, the professional will shape the evolution of the Pinterest marketplace by linking user aspirations with partner offerings. Responsibilities include designing systems to enhance the advertising delivery funnel, conducting experiments to refine utility functions, developing auction mechanisms, optimizing ad allocation, and analyzing marketplace dynamics. The successful candidate will build backend infrastructure and statistical models, define long-term marketplace experiments, balance competing business goals, and collaborate across departments to advance marketplace operations.
Candidates must be capable of working from one of the company's designated offices in San Francisco, Palo Alto, or Seattle, reporting in-person one to two times per month.
Responsibilities
- Build and improve backend systems and statistical models supporting the marketplace to maximize value for all participants
- Define and implement experiments to evaluate long-term marketplace effects
- Develop strategies that balance short-term and long-term business objectives
- Drive cross-functional collaboration with internal peers and partners to advance marketplace operations and design knowledge
Requirements
- 10+ years of professional experience as a technical leader and hands-on engineer leading multiple projects
- Strong software engineering and mathematical capabilities with expertise in statistical methods
- Ability to work in-person from the San Francisco, Palo Alto, or Seattle offices 1-2 times per month
Qualifications
- Degree in Computer Science, Statistics, Machine Learning, or a related discipline
- Hands-on experience working with large-scale online e-commerce systems
- Background in computational advertising
- Experience utilizing AI coding assistants such as Cursor, Copilot, or Codex
- Familiarity with large language model-powered productivity tools for documentation search, data exploration, SQL, and workflow acceleration
Core Skills
Benefits
- Eligible for equity
- Base salary range of $314,580 to $550,515 USD for US-based applicants
Frequently Asked Questions
What is the salary range for this role?
The base salary range for US-based applicants is $314,580 to $550,515 USD, and the position is also eligible for equity.
Where is this job located?
The position requires individuals to be within commutable distance of San Francisco, Palo Alto, or Seattle offices and to work in-person 1 to 2 times per month.
Is relocation assistance provided?
No, this position is not eligible for relocation assistance.
What are the core educational requirements?
Candidates need a degree in Computer Science, Statistics, Machine Learning, or a related field, alongside over 10 years of professional experience as a hands-on engineer and technical leader.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.