Staff Machine Learning Engineer

3 days ago

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Reddit, Inc.

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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.

Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• Reddit is a community of communities... • The LS Embedding Team is at the forefront of building highly expressive, multi-entity embeddings... • As a Staff Machine Learning Engineer, you will own the technical direction for large-scale embedding models... • Architect and lead the development of next-generation multi-entity embeddings... • Define and execute the ML strategy for embedding models... • Lead research initiatives on scalable graph-based learning... • Partner with ML infrastructure teams to build high-performance, distributed training systems... • Establish and optimize real-time serving architectures for large-scale embeddings... • Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML... • Mentor and guide senior and mid-level ML engineers... • Stay at the forefront of AI research... • Drive technical discussions, present findings to leadership...

🎯 Requirements

• 8+ years of experience in machine learning engineering, with a strong focus on representation learning, large-scale embeddings, and recommendation systems. • Expertise in Graph Neural Networks (GNNs), graph-based representation learning, and transformer architectures. • Deep understanding of graph theory, knowledge graphs, and complex multi-entity relationships in machine learning applications. • Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference. • Hands-on experience with PyTorch Geometric (PyG), Deep Graph Library (DGL), TensorFlow, JAX, and large-scale ML model optimization. • 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 Match • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Reddit Global Days off • Generous paid Parental Leave • Paid Volunteer time off