Senior Machine Learning Systems Engineer, ML Platform

About the Team

The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure powering recommendations, content discovery, and user and content quantification, directly impacting teams such as Growth, Ads, Feeds, and Core Machine Learning.

What You’ll Do

As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and more. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems.

• Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage.
• Build tools that help teams assess signal importance and make informed lifecycle decisions.
• Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata.
• Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data.
• Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation.

Who You Might Be

• 5+ years of experience in the ML Platform domain.
• Strong customer focus and experience driving projects from requirements to production in close collaboration with multiple cross-functional partners (XFN).
• Experience with large-scale batch and streaming data processing.
• Experience building production-quality systems with testing, monitoring, observability, and reliability practices.
• Deep understanding of distributed systems and data-intensive architectures, with strong communication and collaboration skills.

Interview Process Note

In select roles and locations, interviews may be recorded, transcribed, and summarized by artificial intelligence (AI), with the opportunity to opt out prior to scheduled interviews.