Staff Machine Learning Systems Engineer, Embeddings Platform

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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 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 to keep Reddit’s ML ecosystem cutting-edge. • 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, with a strong focus 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 machine learning applications and how they are modeled in large-scale systems. • 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, with 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, with the ability to effectively present 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