Senior Machine Learning Engineer, Ads Forecasting – Scenarios

🕒 June 26

🇺🇸 United States – Remote

💵 $216.7k - $303.4k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 33%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 142 days.
• Jobs at this company usually fill in 49 days.
• Reposted once.

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Build machine learning capabilities that help advertisers understand potential Reddit outcomes and make better investment decisions • Develop models estimating how campaign outcomes change with budgets, bids, audiences, creative performance, or objectives • Connect supply and demand forecasting, audience availability, and response prediction • Own forecasting and scenario modeling projects from problem formulation through execution • Use advertising opportunity, audience activity, marketplace competition, and predicted response signals to estimate campaign outcomes • Model effects of budget, bid, audience, and optimization-objective changes while accounting for auction dynamics and campaign constraints • Incorporate partner-team predictions, including creative-performance estimates, to evaluate delivery, efficiency, and advertiser-value improvements • Improve model generalization for sparse segments, cold start, seasonality, delayed feedback, and changing marketplace conditions • Measure forecast accuracy, calibration, uncertainty, and performance across advertiser cohorts • Document modeling assumptions and limitations • Compare predictions with mature outcomes, investigate systematic errors, and use experiments to improve forecasts • Own model training, inference, monitoring, and iteration for reliable production systems • Collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams • Contribute to design and code reviews and mentor engineers through project work

🎯 Requirements

• Experience independently designing, shipping, and improving predictive ML systems in advertising, marketplaces, recommendations, search, forecasting, or similarly complex domains • Strong foundations in statistical learning, probability, and optimization • Experience working with large-scale behavioral or transactional data • Practical experience in forecasting, response prediction, probabilistic modeling, multitask learning, or transfer learning • Sound evaluation judgment, including temporal validation, segment-level analysis, calibration, uncertainty, and prediction limits under changed conditions • Experience diagnosing and addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or delayed labels • Strong programming and software engineering skills • Experience building and operating production ML pipelines and services • Ability to turn ambiguous product questions into concrete technical plans • Ability to lead projects through rollout and collaborate effectively across functions • Preferred: experience in demand, supply, and inventory forecasting; auction and investment modeling; scenario evaluation; reach and audience estimation; probabilistic and response modeling

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to 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 • Potential commission eligibility depending on the position offered • Medical, dental, and vision insurance • Opportunity to opt out of interview recording, transcription, and summarization

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