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Senior Software Engineer, ML Platform
Reddit, Inc.. Architect, implement, and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and other systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and maintaining ML infrastructure, with a focus on data governance, signal processing, and large-scale data pipelines. Proven ability to drive complex projects from inception to production while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
ML Platform ExperienceLarge-Scale Data ProcessingDistributed Systems UnderstandingProduction-Quality System DevelopmentProject Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning InfrastructureData Governance ToolsBatch ProcessingStreaming Data ProcessingSignal Importance AssessmentPrediction LoggingTesting and MonitoringObservability PracticesData-Intensive ArchitecturesLifecycle Decision Support
Soft Skills
Customer FocusCommunication SkillsCollaboration Skills
Tech Stack
Tools & technologiesDistributed Systems
About the role
Key responsibilities & impact- Architect, implement, and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and other systems
- Create ML data-governance tools that help MLEs discover and reason about signals
- Lead the design, development, testing, and operation of ML signal-governance capabilities
- Build tools to assess signal importance and support lifecycle decisions
- Partner with MLEs and cross-functional teams to define governance workflows
- Contribute to prediction logging and training data platforms
- 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
Requirements
What you’ll need- 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
- 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
- Strong communication and collaboration skills
Benefits
Comp & perks- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
- Equity in the form of restricted stock units
- Medical, dental, and vision insurance
- Generous time off for vacation and parental leave
- Opportunity to opt out of AI interview recording, transcription, and summarization