The 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.

Key responsibilities include:

• Contributing 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.
• Designing and developing ML and Generative AI systems in cloud-based production environments at scale.
• Building and managing enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
• Implementing and operationalizing agentic AI workflows with tool use using frameworks such as LangChain and LangGraph.
• Driving adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management.
• Establishing best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production.

The ideal candidate will have:

• 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• Experience operating orchestration systems such as Kubernetes at scale.
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more.
• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders.
• Strong focus on scalability, reliability, performance, and ease of use.

Benefits 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.

XML job scraping automation by YubHub

Contribute 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.

Lead and execute the vision, strategy, and roadmap for Reddit's large-scale GenAI Platform.

Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.

Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.

Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.

Shape Reddit's approach to an enterprise-grade RAG system.

Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform.

Own the end-to-end platform strategy from concept through production adoption and long-term evolution.

Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.

Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems.

Partner across engineering, product, and leadership to align platform investments with company priorities and user needs.

Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.

Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.

XML job scraping automation by YubHub