Machine Learning Engineer, Ads

August 14

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

B2C • Media • Social Impact

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.

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• Reddit describes itself as a community of communities with a flexible workforce and remote work options. • Role: Machine Learning Engineer, Ads; full ML lifecycle ownership for ads ranking, bidding, measurement, and optimization. • Teams: Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization, Ads Marketplace. • Responsibilities include designing, building, deploying ML models, feature engineering, collaborating with product managers, ensuring reliability. • Qualifications: 3+ years experience, Python/Scala, TensorFlow/PyTorch, cross-functional collaboration. • Bonus: Ads domain experience, MS/PhD, distributed systems (Spark, Kafka). • Privacy and interview recording policy noted.

🎯 Requirements

• At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment. • Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices. • Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms. • Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions. • Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.