Staff Machine Learning Engineer

🕒 March 24

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

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.

📋 Description

• Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding • Lead projects from ideation → modeling → experimentation → production → iteration • Design and improve recommender systems and ranking models across surfaces (feed, search, notifications) • Optimize for user engagement, discovery, and long-term value • Build next-gen AI-powered search and recommendation experiences, including LLM-integrated systems • Develop pipelines that help users find high-quality answers and content across Reddit’s corpus • Build and optimize content embeddings and representation models for users, communities, and content • Leverage and advance LLMs and multimodal models for deeper understanding and personalization • Evaluate model performance, improve accuracy, and reduce bias • Partner with Product, Data Science, Infra, and UX teams to solve complex problems • Translate ambiguous business needs into scalable ML solutions • Mentor engineers and raise the bar across the organization • Establish best practices for ML development, experimentation, and responsible AI • Act as a thought leader across teams and domains

🎯 Requirements

• 6+ years of experience building, deploying, and operating machine learning systems in production • Strong programming skills in Python, Go, or similar languages, with solid software engineering fundamentals • ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) • Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) • Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure • Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions • Experience driving measurable impact through applied machine learning.

🏖️ 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