Staff Machine Learning Infrastructure Engineer, Embedding Platform

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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

• Architect and lead the development of next-generation, large-scale machine learning techniques • Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit • Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production • Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments • Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput • Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems • Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing • Stay at the forefront of AI research, evaluating and introducing new modeling paradigms • Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making

🎯 Requirements

• 8+ years of experience in machine learning engineering, focused on large-scale ML systems and recommendation or personalization systems • Expertise in modern deep learning architectures, including sequence models and foundational models • Deep understanding of complex multi-entity relationships in ML applications and large-scale system modeling • Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference • Strong software engineering skills in Python, C++, or similar languages • Experience in ML infrastructure, high-performance computing, and cloud-based ML pipelines • Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams • Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems • Excellent communication skills for presenting complex ML concepts to technical and non-technical stakeholders

🏖️ 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 • 401(k) program with employer match • Generous time off for vacation • Parental leave • Opportunity to opt out of interview recording, transcription, and summarization