Machine Learning Engineer, Ads Optimization

Навыки

• Airflow
• BigQuery
• CAC / CPA / CPL
• CPC / CPM / CTR
• Java
• Kafka
• Machine Learning

О компании и продукте

• We are hiring Machine Learning Engineers (IC4) to build and evolve the auction, bidding and budgeting systems that power Reddit Ads.

Задачи

• Design and implement optimization algorithms for auctions, bidding strategies, and pacing that balance advertiser performance, user experience, and marketplace efficiency
• Own systems end-to-end: from problem formulation and algorithm design to experimentation, production deployment, and ongoing iteration
• Work across Ads Optimization (bid strategies, budget optimization, pacing) to deliver measurable wins for advertisers and Redditors
• We are hiring a Senior (IC4) level
• IC4 MLEs lead more complex or multi-quarter initiatives, set technical direction for key parts of the bidding/auction/pacing stack, and mentor other engineers while remaining hands-on
• Auction, Bidding, and Pacing Systems
• Design and implement models and policies that
• Compute bids for different optimization objectives (e.g., CPC, CPA, ROAS-based strategies)
• Pace budgets smoothly over time across accounts, campaigns, and ad groups while preventing overspend or underspend
• Allocate spend and auction participation intelligently across segments, surfaces, and time zones
• Translate product and marketplace goals into concrete optimization problems and constraints (e.g., ROI, revenue, delivery smoothness, fairness, and user experience)
• Reddit is a community of communities
• It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet
• Every day, Reddit users submit, vote, and comment on the topics they care most about
• Ensuring marketplace quality by improving user experience with ads, fighting ad blindness, and increasing valuable ad opportunities on the platform
• You’ll join a set of tight-knit engineers working on high-impact, internet-scale problems at the core of Reddit’s revenue engine, collaborating closely with Product, Data Science, and Infra partners across Reddit Ads

Требования

• (Level will be determined during the interview process
• IC4 expectations assume deeper experience and broader scope.)
• 3–5+ years of experience building, deploying, and operating machine learning systems in production (for IC4, typically 5+ years)
• Strong programming skills in Python , Java , Go , or similar languages, with solid software engineering fundamentals
• Experience designing scalable data processing systems (e.g., Spark, Kafka, Airflow, BigQuery, Redis)
• Demonstrated ability to translate ambiguous product or business problems into solutions and to improve measurable metrics
• Additional expectations for strong bidding/auction candidates
• Evidence of stronger math and optimization skills than a generic MLE, such as
• Degree or equivalent background in a quantitative field (math, physics, quantitative finance, economics, operations research, or similar)
• Work experience in optimization-heavy domains (e.g., bidding/auctions, pacing, pricing, logistics optimization, quantitative finance)
• Comfort reasoning about and implementing custom optimization logic (e.g., gradient-based methods, constraint handling), not just applying black-box tooling

Будет плюсом

• Experience with advertising/auction systems , online marketplaces, or search/ranking systems at scale, particularly in
• Bidding, pacing, or budget optimization
• Auction design, mechanism design, or marketplace quality
• Campaign performance optimization (e.g., CTR/CVR, CPA, ROAS)
• Familiarity with large-scale, real-time decision systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring for ML systems
• Experience collaborating with cross-functional partners (Product, DS, Eng) in Ads or marketplace contexts and leading projects from design through rollout
• Advanced degree (MS or PhD) in Computer Science, Machine Learning, Operations Research, Applied Math, or a related quantitative field
• Potential Teams
• Ads Optimization (bid strategies, conversion/ROAS optimization, pacing and budget allocation)

Условия

• 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
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave
• With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information
• For more information, visit www.redditinc.com
• Team Description
• This role sits in the Ads Optimization organizations, which are responsible for the health and performance of Reddit’s ads marketplace. We focus on
• Designing the auction and bidding mechanisms that decide which ads show to which users and at what price
• Building optimization systems that help advertisers achieve their goals (e.g., conversions, ROAS) under budget and delivery constraints

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