Reddit, Inc. · 1 week ago
Machine Learning Engineer, Ads Optimization
United States
Full-time
Remote
Senior Level
$217K/yr - $303K/yr
3+ years expReddit, Inc. is a community of communities, hosting open and authentic conversations on the internet. They are seeking a Senior Machine Learning Engineer to design and implement optimization algorithms for auction and bidding systems that enhance the performance of Reddit's ads marketplace.
Social MediaConsumer GoodsDigital MediaPublishingCommunitiesConsumerContentNewsSocial Network
Responsibilities
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)
Qualification
Required
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
Evidence of stronger math and optimization skills than a generic MLE, such as a 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
Preferred
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
Benefits
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 Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Company
Reddit, Inc.
Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable.
1001-5000 employees
H1B Sponsorship
Reddit, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
84%
Represents job field similar to this job
Engineering and Development
Product Management
Management and Executive
Marketing
Creatives and Design
Sales
Customer Service and Support
Accounting and Finance
Trends of Total Sponsorships
*2026 (35)
2025 (99)
2024 (63)
2023 (76)
2022 (70)
2021 (68)
2020 (39)
Funding
Current Stage
Public CompanyTotal Funding
$1.33BKey Investors
FidelityVy CapitalTencent
2024-03-21IPO
2021-08-12Series F· $410M
2021-02-08Series E· $367.95M
Leadership Team
Steve Huffman
CEO
Andrew Vollero
Chief Financial Officer
Recent News
2026-08-08
Marketing Dive
2026-08-08
2026-08-08
Company data provided by crunchbase