As a Senior Software Engineer, you will lead the development of a large-scale GenAI Platform at Reddit.
\nThe Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
\nKey responsibilities include:
\nThe ideal candidate will have:
\nBenefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health & coaching benefits, flexible vacation & paid volunteer time off, and generous paid parental leave.
\nXML job scraping automation by YubHub
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\nContribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.
\nLead and execute the vision, strategy, and roadmap for Reddit's large-scale GenAI Platform.
\nDefine the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.
\nDrive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.
\nSet the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.
\nShape Reddit's approach to an enterprise-grade RAG system.
\nEstablish the strategic direction for agentic AI workflows and tool-use patterns across the platform.
\nOwn the end-to-end platform strategy from concept through production adoption and long-term evolution.
\nDrive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.
\nDefine best practices for observability, monitoring, governance, and operational excellence across GenAI systems.
\nPartner across engineering, product, and leadership to align platform investments with company priorities and user needs.
\nChampion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.
\nInfluence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.
\nXML job scraping automation by YubHub
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