Senior Staff Machine Learning Engineer, GenAI Platform

Reddit is a community-driven platform known for its open and authentic conversations. The Senior Staff Machine Learning Engineer will lead the vision for Reddit’s large-scale GenAI Platform, focusing on the strategy, architecture, and operational model to support generative AI products across the company.

Responsibilities:

• 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

Requirements:

• 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles
• Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale
• Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes
• Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments
• 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 developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle
• Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus