Remote ML Platform Engineer: Data Governance & Pipelines

Reddit; United States; Remote; USD 217,000 - 303,000; Full time

Benefits offered by this job

Healthcare benefits

401k match

Parental leave

Mental health benefits

Job summary

Reddit is seeking a Senior Software Engineer, ML Platform, to architect and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, and Recommendations. You’ll build ML data-governance tools that help engineers discover signals, ownership, and quality.

Collaborate with MLEs and cross-functional partners to design governance workflows, develop batch and streaming pipelines, and deliver end-to-end projects from planning to operation.

Qualifications

• 5+ years of experience in the ML Platform domain.
• Experience with large-scale batch and streaming data processing.
• Production-quality systems with testing, monitoring, observability, and reliability practices.
• Strong collaboration with cross-functional partners.

Responsibilities

• 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.

Skills

ML Platform

Distributed systems

Data governance

Cross-functional collaboration

Observability & reliability

Job description

Reddit is seeking a Senior Software Engineer, ML Platform, to architect and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, and Recommendations. You’ll build ML data-governance tools that help engineers discover signals, ownership, and quality.

Collaborate with MLEs and cross-functional partners to design governance workflows, develop batch and streaming pipelines, and deliver end-to-end projects from planning to operation.