Manager II, Machine Learning Engineering - Ads Marketplace

Pinterest • San Francisco, CA

81d • $208,145 - $364,254 • Hybrid

About The Position

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 delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. As a Manager, you will lead a talented team of machine learning engineers, 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.
• 1+ years of management experience.
• Hands-on experience with model offline development and online serving.
• Hands-on experience with large-scale online e-commerce systems is preferred.
• Full ads funnel knowledge that's from bidding and budgeting systems all the way to ads retrieval and allocation is preferred.
• Strong software engineering, mathematical and analytical skills.
• Exceptional strategic thinking, communication, and collaboration skills.

Responsibilities

• Define and drive the strategy and roadmap for our vertical ads products, shaping the future of ad experiences on Pinterest.
• Lead your team in building scalable product onboarding systems, applying state-of-art machine learning techniques to enhance ads product triggering, ranking, and selection, and driving value via the ads marketplace systems for bidding, budgeting, ad ranking, tuning, pricing, ad allocation and placement.
• Collaborate with product managers, data scientists, designers and engineers across the company to deliver pinner facing ads products end-to-end.
• Mentor and develop machine learning engineers at all levels, setting clear technical vision, guiding daily execution, and fostering a strong, healthy team culture.
• Establish and uphold high standards for code quality, system design, and operational excellence within your team.

Benefits

• Equity eligibility
• Base salary range of $208,145-$364,254 USD

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees