Machine Learning Engineer, Ads Optimization – Ads Marketplace Quality

🕒 June 26

🇺🇸 United States – Remote

💵 $185.8k - $303.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Logo of Reddit, Inc.

Reddit, Inc.

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• 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) or Ads Marketplace Quality (ad matching, ad load, quality controls) to deliver measurable wins for advertisers and Redditors.

🎯 Requirements

• 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.

🏖️ 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

Apply Now

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