Overview Join to apply for the Staff Machine Learning Engineer - Ads Modules role at Pinterest . Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences, and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. Within the Ads Modules, Diversity & Verticals team, we connect the aspirations of pinners with the products offered by our partners. We’re a high-impact group that owns the entire lifecycle of our products, from ideation to production deployment. We are driven by a passion for solving complex, large-scale problems at the intersection of machine learning, user experience, and business growth. As a Staff ML Engineer, you will be a key technical leader, shaping the direction of vertical ads products, and collaborating closely with product managers, data scientists, designers, and engineers to deliver impactful, pinner-facing ad products end-to-end.

What You’ll Do Define and drive the strategy and roadmap for our vertical ads products, shaping the future of ad experiences on Pinterest. Lead the end-to-end development of production-grade machine learning models to enhance ad triggering, ranking, and selection, thereby optimizing the ads marketplace systems for bidding, budgeting, and ad placement. Collaborate with product managers, data scientists, designers, and engineers across the company to ship impactful, user-facing ad products. Serve as a technical mentor for other engineers, elevating the team’s expertise in machine learning, system design, and best practices.

What We’re Looking For MS or PhD degree in Computer Science, Machine Learning or related field 6+ years of industry experience 2+ years of experience leading projects/teams Strong software engineering, mathematical and analytical skills Exceptional strategic thinking, communication, and collaboration skills Hands-on experience with large-scale online e-commerce systems is a plus Background in computational advertising is preferred

In-Office Requirement We let the type of work you do guide the collaboration style. This role will need to be in the office for in-person collaboration 1-2 times/month , and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

Our Commitment To Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Seniority level Mid-Senior level

Employment type Full-time

Job function Engineering and Information Technology

Industries Technology, Information and Internet, Software Development, and IT Services and IT Consulting

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