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Posted 2 hours agoMachine Learning Engineer, Ads Optimization & Ads Marketplace Quality
at Redditinc
United StatesRemote
Responsibilities
- Building optimization systems that help advertisers achieve their goals (e.g., conversions, ROAS) under budget and delivery constraints.
- 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.
- Design and implement models and policies that:
- Compute bids for different optimization objectives (e.g., CPC, CPA, ROAS-based strategies).
- Improve ad matching and ranking by incorporating new quality and relevance signals into bidding and auction decisions.
- Inform policies around ad load and eligibility that protect user
- Collaborate closely with Ads Optimization to integrate new bid strategies and pacing mechanisms into the broader ads ecosystem and measurement stack. Required
Requirements
- With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
- 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. Role Description
- We are hiring Machine Learning Engineers (IC3 and IC4) to build and evolve the auction, bidding and budgeting systems that power Reddit Ads.
- IC3 MLEs are strong individual contributors who can independently own scoped projects, ship models and services, and contribute to experimentation and measurement.
- 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.
- 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.
- 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).
- Experience with advertising/auction systems , online marketplaces, or search/ranking systems at scale, particularly in:
- 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
- Additionally, Reddit offers a wide range of
- In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI).
Experience
- (Level will be determined during the interview process; IC4 expectations assume deeper experience and broader scope.) 3–5+ years of
Benefits
- Benefits and Income Replacement Programs
- 401k with Employer Match
- Gender-Affirming Care
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave Pay Transparency:
- In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.
- benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
- To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state.
- We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.
- The base salary range for this position is: $185,800 — $303,400 USD
Contact
- For more information, visit www.redditinc.com . Team Description
- To learn more, please visit https://www.redditinc.com/careers/ .
Additional details
- It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
- This role sits in the Ads Optimization and Ads Marketplace Quality (AMQ) 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.
- Work across Ads Optimization (bid strategies, budget optimization, pacing) or Ads Marketplace Quality (ad matching, ad load, quality controls) to deliver measurable wins for advertisers and Redditors.
- Responsibilities Auction, Bidding, and Pacing Systems
- 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).
- experience while increasing high-quality ad opportunities.
- Additional expectations for strong bidding/auction candidates (especially IC4):