Pinterest is seeking an experienced ML engineer to enhance its advertising platform through the development of data-driven bidding strategies. The role focuses on creating algorithms for target ROAS and automatic bidding while collaborating with product and sales teams. Candidates should have a strong background in ads delivery and machine learning, with an emphasis on using AI to optimize workflows. This position requires in-office collaboration three times per quarter in locations such as San Francisco, Palo Alto, or Seattle.

• Bachelor's degree in Computer Science, Statistics, or a related field.
• 6+ years of industry experience in ads delivery, automatic bidding, or machine learning.
• Proven Staff-level technical leadership as an individual contributor.
• Demonstrated ability to use AI to improve workflow speed and quality.
• Direct experience with bidding or pacing is a significant advantage.
• Experience with AI coding assistants like Cursor, Copilot, or Codex.

• Design target ROAS and automatic bidding and pacing algorithms for ads.
• Explore bid landscapes to maximize revenue and advertiser value.
• Work with product and sales teams to design and implement bidding strategies for new ad products.
• Conduct A/B experiments to improve bidding algorithms.
• Collaborate with other teams to identify and capitalize on bidding and budgeting opportunities.