Manager II, Machine Learning Engineering - Ads Marketplace

About the Role

Key Responsibilities

• Define and drive the strategy and roadmap for vertical ads products, shaping the future of ad experiences on Pinterest.
• Lead the team in building scalable product onboarding systems, applying state-of-the-art machine learning techniques to enhance ads product triggering, ranking, and selection.
• Drive 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 the team.

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.
• Strong software engineering, mathematical, and analytical skills.
• Exceptional strategic thinking, communication, and collaboration skills.

Nice to Have

• Hands-on experience with large-scale online e-commerce systems.
• Full ads funnel knowledge from bidding and budgeting systems to ads retrieval and allocation.

Qualifications

• Educational background with MS or PhD in relevant fields.

Benefits & Perks

• Position salary range from $208,145 to $364,254 USD, based on factors such as location, experience, and skills.
• Eligible for equity.
• Work environment with in-office collaboration 1-2 times/month in San Francisco, Palo Alto, or Seattle.
• Flexible work arrangements with a hybrid model.