10 hours ago
Base Salary
$230k - $322k/yr
Responsibilities
- Lead forecasting and scenario modeling for campaign delivery, reach, performance, and investment tradeoffs.
- Combine inventory, audience activity, marketplace competition, and predicted response to estimate achievable advertising outcomes.
- Model alternative budgets, bids, audiences, optimization objectives, auction dynamics, and campaign constraints.
- Use creative-performance estimates to quantify unrealized campaign opportunities and potential gains.
- Develop generalized models that address sparse segments, cold start, delayed feedback, seasonality, distribution shift, selection bias, and partially observed labels.
- Define evaluation standards for numerical accuracy, calibration, uncertainty, temporal validation, and cohort-level performance.
- Compare predictions with mature outcomes, diagnose systematic errors, and validate scenarios through experiments and observed results.
- Partner on production ML training, serving, monitoring, and iteration; lead designs and mentor engineers.
Requirements
- Track record of developing and shipping predictive machine learning systems in advertising, marketplaces, recommendations, search, demand forecasting, or similarly complex domains.
- Strong foundations in statistical learning, probability, and optimization, with experience modeling large-scale behavioral or transactional data.
- Depth in probabilistic or hierarchical forecasting, calibrated conversion or value prediction, multitask or transfer learning, delayed-feedback or survival modeling, or response modeling.
- Strong judgment in temporal validation, calibration, segment-level performance, and assumptions for estimating outcomes under changed conditions.
- Experience addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or partially observed labels.
- Strong programming and software engineering skills, including experience building and operating production machine learning systems.
- Ability to lead ambiguous technical initiatives, make practical tradeoffs, and develop other engineers.
- Preferred experience with advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting.
- Preferred experience with auction simulation or replay, win-rate and price models, bid or budget response curves, constrained optimization, counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, reach and audience estimation, or advanced predictive methods such as mixture-of-experts, distributional prediction, temporal sequence models, or state-space models.
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.
- Base salary range of $230,000–$322,000 USD, with potential equity and commission eligibility stated separately in the posting.
- The posting applies to U.S.-based roles and notes that interviews may be recorded, transcribed, and summarized by AI, with an opt-out opportunity.
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.