ML Platform Engineer: Scale Data Pipelines & Governance

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

Benefits offered by this job

Healthcare Benefits

401k with Employer Match

Parental Leave

Mental Health & Coaching

Job summary

Reddit is seeking a Senior Software Engineer, ML Platform, to architect and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, and Ads.

You will lead ML signal-governance tools, collaborate with MLEs and cross-functional teams, and contribute across the ML Data Platform, including batch and streaming pipelines handling petabyte-scale data.

Qualifications

• 5+ years of experience in the ML Platform domain.
• Strong customer focus and experience driving projects from requirements to production with cross-functional partners.
• 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.

Responsibilities

• Lead design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand ownership, lineage, quality, and usage.
• Build tools to assess signal importance and inform lifecycle decisions.
• Partner with MLEs and cross-functional teams to define governance workflows and enable exploration and action on signal metadata.
• Contribute to the ML Data Platform, including prediction logging and training data platforms, designing, developing, testing, and operating pipelines processing petabyte-scale data.
• Drive complex projects end to end from planning through rollout and ongoing operation.

Skills

ML Platform

Distributed systems

Data pipelines

Collaboration

Job description

Reddit is seeking a Senior Software Engineer, ML Platform, to architect and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, and Ads.

You will lead ML signal-governance tools, collaborate with MLEs and cross-functional teams, and contribute across the ML Data Platform, including batch and streaming pipelines handling petabyte-scale data.