Senior Machine Learning Engineer, Ads Forecasting & Scenarios

What you'll do

• Lead forecasting and scenario-modeling projects from problem formulation through deployment and iteration.
• Model campaign outcomes across budgets, bids, audiences, objectives, inventory, demand, and predicted response; evaluate forecast accuracy and uncertainty.
• Operate and improve production models and pipelines, using mature outcomes and experiments to refine predictions.

What they ask for

• Experience independently designing, shipping, and improving predictive ML systems in advertising or a similarly complex domain.
• Strong foundations in statistical learning, probability, and optimization, with experience using large-scale behavioral or transactional data.
• Practical experience in forecasting, response prediction, probabilistic modeling, multitask learning, or transfer learning.
• Strong programming and software engineering skills, including building and operating production ML pipelines and services.

Nice to have

• Experience with demand, supply, or inventory forecasting; auction and investment modeling; scenario evaluation; reach and audience estimation; or probabilistic and response modeling.

Pay

$216,700 — $303,400 USD base salary

AI focus

Develop machine-learning models for advertising forecasts, campaign scenarios, response prediction, and investment planning.