Staff Machine Learning Engineer - Ads Modules

Pinterest • San Francisco, CA

160d

About The Position

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. 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 try to connect the dots between the aspirations of pinners and the products offered by our partners. We're a high-impact group that owns the entire lifecycle of our products, from initial ideation to production deployment. We're 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'll be a key technical leader, playing a crucial role in shaping the direction of vertical ads products, and collaborating closely with product managers, data scientists, designers, and engineers across the company to deliver impactful, pinner-facing ad products end-to-end.

Requirements

• 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

Responsibilities

• 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 closely 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 This Job Offers

• Job Type: Full-time
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Master's degree