Senior Machine Learning Engineer, Ads Optimization at Reddit
Confirmed open
Reddit is hiring a US-remote Machine Learning Engineer to build auction, bidding, budgeting and optimization systems for its ads marketplace.
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Reddit- Location
- Remote - United States
- Work arrangement
- remote
- Technologies
- Python, Java, Go
Role overview
Reddit’s Ads Optimization organisation owns the health and performance of its advertising marketplace. This Machine Learning Engineer role builds auction, bidding, budgeting and optimisation systems that help advertisers achieve goals under delivery constraints.
Responsibilities
- Design and evolve auction and bidding mechanisms that choose ads, users and prices.
- Build optimisation systems for conversions, ROAS and advertiser outcomes under budget constraints.
- Improve marketplace quality, user experience and valuable ad opportunities.
- Develop and deploy machine-learning models, features and services at internet scale.
- Collaborate with Product, Data Science and Infrastructure partners across Reddit Ads.
- Measure model and marketplace performance and iterate on reliability, latency and quality.
Qualifications
- Strong machine-learning and software-engineering experience with production systems.
- Experience with ranking, auctions, bidding, recommendation, optimisation or advertising marketplaces.
- Strong Python or similar programming, statistics, experimentation and data skills.
- Ability to reason about budgets, constraints, user experience and marketplace economics.
- Excellent collaboration and communication in a cross-functional engineering organisation.
Benefits
- US-remote work under Reddit’s country and physical-presence rules.
- Benefits and leave programmes supporting health, wellbeing and family needs.
- Opportunity to work on auction and optimisation systems at internet scale.
About Reddit
Reddit is a community platform. Ads Optimization builds auction, bidding, budgeting and marketplace-quality systems for Reddit Ads.
How to apply
Review the original posting and apply through the employer’s careers page.
View source and applySource checked: 2026-09-29
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