Ads Conversion Modeling, Machine Learning Engineering Manager

The role

This engineering manager role heads the conversion modeling group, which builds machine learning models predicting valuable user actions such as purchases and signups from ads. The position sits within the Ads organization and works closely with product, data science, and other engineering teams. It is open to candidates across the United States.

What you would do

• Set the long-term technical direction and roadmap for conversion modeling work
• Oversee models from early ideation through production rollout, keeping quality and reliability high
• Hire, coach, and retain machine learning engineers while building a growth-oriented team culture
• Align with product, data science, and engineering partners on engagement strategy, data needs, and KPIs
• Guide the design of model architectures suited to predicting conversions

What they asked for

• Two or more years building and leading strong machine learning teams, ideally in advertising
• Hands-on depth deploying machine learning models at large production scale
• Experience training, evaluating, and shipping large models
• Background in conversion modeling and ranking or recommendation systems, including heavy ranker work
• Ability to articulate a compelling technical strategy tied to company goals
• Strong communication skills for explaining complex topics to varied audiences

Nice to have

• Familiarity with how ranking models interact with bidding, auction, and retrieval systems
• Prior work on engagement prediction in the ads domain