Senior Engineering Manager, Unified Embeddings Platform

Who We Are

The Machine Learning Platform team at Reddit owns the foundational embeddings and infrastructure that powers recommendations, content discovery, user and content quantification, impacting teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do

As a Senior Engineering Manager, Unified Embeddings Platform, you will lead our Embeddings Platform Team and be instrumental in architecting, implementing, and maintaining platform providing foundational ML embeddings based on state of the art architectures such as large scale graph neural networks, foundational models, large scale sequence models, etc., empowering all product verticals at Reddit.

• Lead the creation of foundational embeddings at Reddit leveraging state of the art architectures such as graph neural networks, transformer based sequence models, foundational models, etc.
• Lead the design and long-term evolution of Reddit’s Embeddings platform enabling all ML teams access, store and share embeddings
• Drive high-impact, high-leverage projects that align with Reddit’s broader engineering and business goals
• Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence
• Establish and champion best practices for the production, consumption, and governance of machine learning features
• Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
• Communicate your team’s work and set expectations with cross-functional stakeholders.

Who You Might Be

• 4+ years of experience in people management
• 8+ years of work experience in a production software development environment
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Experience working on large-scale ML Systems serving 100s of millions of users
• Experience building self service platform enabling storage and sharing of large scale data and embeddings
• Experience with leading modelling teams powering the creation of foundational embeddings based on state of the art architectures
• Strong organizational & communication skills