Senior Machine Learning Engineer

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 is a community of communities; it’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Reddit has a flexible workforce and remote work options; you can apply to work remotely in any country in which Reddit has a physical presence. • Reddit Ads encompasses teams like Ads ML Serving, Attribution & Identity, Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization, Ads Marketplace Quality, App Ads and Conversion Modeling, Ads Prediction. • Role: Machine Learning Engineer on the Ads team, responsible for the full lifecycle of ML systems from research to production. • Responsibilities: design, build, deploy ML models for ad ranking, bidding, and optimization; own ML lifecycle; feature engineering; cross-functional collaboration; monitoring and retraining pipelines; research new algorithms. • Required Qualifications: 3+ years of experience; programming in Python/Scala; TensorFlow or PyTorch; cross-functional collaboration; KPI-driven ML impact. • Pay Transparency: base pay range $216,700–$303,400 USD; comprehensive benefits. • Reddit’s mission: empower communities and deliver relevant ads while respecting privacy and compliance.

🎯 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.

🏖️ Benefits

• Equity in the form of restricted stock units; and depending on the position offered, it may also be eligible to receive a commission. • Medical, dental, and vision insurance for U.S.-based employees. • 401(k) program with employer match. • Generous time off for vacation. • Parental leave.