Staff Machine Learning Engineer, Ads Forecasting & Scenarios

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee forecasting and scenario modeling for advertiser delivery, reach, performance, and investment trade-offs.

• Establish technical direction and provide guidance for the team's execution.

• Integrate advertising opportunities, audience behavior, marketplace competition, and anticipated response forecasts.

• Create models that account for variations in budget, bidding, audience targeting, and optimization objectives, including auction dynamics and campaign limitations.

• Evaluate how enhanced creative can boost campaign delivery, efficiency, and value for advertisers.

• Utilize probabilistic forecasting, multitask learning, transfer learning, hierarchical modeling, or similar methodologies.

• Measure numerical accuracy, calibration, uncertainty, and performance at the cohort level.

• Contrast recorded predictions with actual outcomes, identify systematic errors, and confirm scenario estimates.

• Collaborate with engineers to ensure reliable training, serving, monitoring, and iterative improvements.

• Lead design efforts, mentor engineering staff, and work closely with Product, Data Science, Ads Delivery, Audience, and Creative teams.

⛳️ Requirements

• Proven experience in developing and deploying predictive machine learning systems in advertising, marketplaces, recommendations, search, demand forecasting, or similarly complex fields.

• Strong foundation in statistical learning, probability, and optimization, with a background in modeling large-scale behavioral or transactional datasets.

• Expertise in one or more relevant areas: probabilistic or hierarchical forecasting, calibrated conversion/value prediction, multitask or transfer learning, delayed-feedback or survival modeling, or response modeling.

• Excellent judgment in evaluation, including temporal validation, calibration, segment-level performance, and the assumptions necessary for estimating outcomes under altered conditions.

• Experience addressing challenges such as sparse observations, cold starts, seasonality, distribution shifts, selection bias, or partially observed labels.

• Proficient programming and software engineering skills, with experience in building and managing production machine learning systems.

• Demonstrated capability to lead ambiguous technical projects, make practical trade-offs, and nurture the development of fellow engineers.

• Additional expertise in demand, supply, and inventory forecasting; auction and investment modeling; scenario evaluation; reach and audience estimation; or advanced predictive methods.

🏝️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.

• 401k with Employer Match.

• Global benefit programs that suit your lifestyle, encompassing workspace, professional development, and caregiving support.

• Family Planning Support.

• Gender-Affirming Care.

• Mental Health & Coaching Benefits.

• Flexible Vacation & Paid Volunteer Time Off.

• Generous Paid Parental Leave.

• Equity in the form of restricted stock units.

• Commission may be available based on the position offered.

• Medical, dental, and vision insurance.

• Option to opt out of AI interview recording.

• Reasonable accommodations for qualified individuals with disabilities and disabled veterans.