13 days ago
Base Salary
$217k - $303k/yr
Responsibilities
- Own forecasting and scenario-modeling projects from problem formulation and technical design through deployment and iteration.
- Develop models for delivery, reach, performance, investment tradeoffs, budget and bid changes, audience choices, and optimization objectives.
- Connect inventory, demand, audience activity, marketplace competition, and predicted response to improve campaign outcome estimates.
- Address sparse segments, cold start, seasonality, delayed feedback, distribution changes, and other modeling challenges.
- Evaluate forecast accuracy, calibration, uncertainty, cohort performance, and the limits of scenario comparisons.
- Compare predictions with mature outcomes, investigate systematic errors, and use experiments to improve forecasts.
- Own model training, inference, monitoring, production reliability, and iteration.
- Collaborate with cross-functional teams, contribute to design and code reviews, and mentor engineers through project work.
Requirements
- Experience independently designing, shipping, and improving predictive machine learning systems in advertising, marketplaces, recommendations, search, forecasting, or similar complex domains.
- Strong foundations in statistical learning, probability, and optimization, plus experience with large-scale behavioral or transactional data.
- Experience with 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 addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or delayed labels.
- Strong programming and software engineering skills, including production machine learning pipelines and services.
- Ability to turn ambiguous product questions into technical plans, lead projects through rollout, and collaborate across functions.
- Preferred experience with demand, supply, or inventory forecasting; auction and investment modeling; scenario evaluation; reach and audience estimation; or probabilistic and response modeling.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefits supporting workspace, professional development, caregiving, and lifestyle needs.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
- US-based employees may receive medical, dental, and vision insurance and other listed benefits.
Categories
About Reddit
Reddit builds a social news and discussion platform organized into user-created forums (“subreddits”) for consumers, creators, and communities. It monetizes primarily through advertising tools for brands and self-serve advertisers, plus a Premium subscription; developers can access data via its API. Founded in 2005 and headquartered in San Francisco, Reddit became a public company on the NYSE in 2024 and hosts over 100,000 active communities.
