Senior Staff Machine Learning Engineer, ML Understanding

🕒 September 30

🇺🇸 United States – Remote

💵 $266k - $372.4k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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• Open for 46 days.
• Jobs at this company usually fill in 49 days.

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

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

• Define a unified user understanding framework and long-term technical strategy • Lead advanced user models and large-scale representation learning across Feeds, Notifications, Search, and Ads • Leverage LLMs and GenAI for dynamic user profiles, intent inference, and semantic reasoning • Design storage, retrieval, feature pipelines, APIs, and large-scale learning and serving components • Ensure low-latency serving, high availability, and MLOps integration • Drive experimentation and adoption with Feeds, Notifications, Search, Ads, product, infrastructure, and downstream ML teams • Mentor senior and staff engineers, lead design reviews, and establish engineering best practices

🎯 Requirements

• At least 10 years experience building and scaling production-grade ML systems, particularly in user modeling, large-scale representation learning, or recommender systems • Track record of driving ambiguous, high-impact initiatives from concept to production • Strong fundamentals in representation learning, behavioral modeling, and user clustering • Experience or strong intuition applying LLMs or foundation models • Systems thinking across data, training, evaluation, serving, and adoption • Ability to partner with product, infrastructure, and ML teams • Experience mentoring senior engineers, leading design reviews, and establishing best practices • Ability to navigate trade-offs across quality, latency, cost, and safety

🏖️ 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 • Equity in the form of restricted stock units • Medical, dental, and vision insurance • AI interview recording opt-out opportunity

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