Staff Machine Learning Engineer, Ads Forecasting & Scenarios

What you'll do

• Set modeling direction for forecasts of campaign delivery, reach, performance, and investment tradeoffs under different campaign choices.
• Build and evaluate reusable production ML capabilities, validating predictions against mature outcomes, experiments, and observed results.
• Lead technical designs and execution, mentor engineers, and partner with teams across Product, Data Science, Ads Delivery, Audience, and Creative.

What they ask for

• Track record of developing and shipping predictive ML systems in advertising, marketplaces, recommendations, search, demand forecasting, or similar domains.
• Strong foundations in statistical learning, probability, and optimization, with experience modeling large-scale behavioral or transactional data.
• Strong evaluation judgment, including temporal validation, calibration, segment-level performance, and assumptions for estimating changed conditions.
• Strong programming and software engineering skills, including building and operating production ML systems; demonstrated technical leadership and ability to develop engineers.

Nice to have

• Experience in demand, supply, or inventory forecasting; auction and investment modeling; scenario evaluation; or reach and audience estimation.
• Experience with advanced predictive methods such as mixture-of-experts, distributional or quantile prediction, temporal sequence models, or state-space models.

Pay

$230,000 — $322,000 USD (base salary)

AI focus

Develop predictive ML forecasting and scenario models for advertising delivery, reach, performance, and investment choices. The posting also states that interviews in select roles and locations may be recorded, transcribed, and summarized using AI.