Machine Learning Engineer, Ads Optimization
Remote - United States · Contract
Sponsorship not specified$217k-$303kDetected 12 hours ago
PythonJavaGoAlgorithmsRedisBigQueryKafkaMachine LearningSparkAirflowData ScienceA/B TestingBudgetingLogisticsMechanical DesignResearchMentoring
About the role
- 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.
- With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.
Responsibilities
- Design and implement models and policies that:
- Design and implement optimization algorithms for auctions, bidding strategies, and pacing that balance advertiser performance, user experience, and marketplace efficiency.
- Work across Ads Optimization (bid strategies, budget optimization, pacing) to deliver measurable wins for advertisers and Redditors.
- Family Planning Support
Requirements
- 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.
- 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.
- Ensuring marketplace quality by improving user experience with ads, fighting ad blindness, and increasing valuable ad opportunities on the platform.
Nice to have
- Experience with advertising/auction systems, online marketplaces, or search/ranking systems at scale, particularly in:
- Bidding, pacing, or budget optimization
- 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.
- Ads Optimization (bid strategies, conversion/ROAS optimization, pacing and budget allocation)
- 401k with Employer Match
Compensation
- 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.
- 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.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Company info
- 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.
Equal opportunity
- Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.
- If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Visa & Work Authorization
- You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
This listing is sourced directly from Reddit's careers page and normalized into a canonical job model.