Senior Staff Machine Learning Engineer, GenAI Platform

Reddit is a community of communities, built on shared interests, passion, and trust. It hosts 100,000+ active communities and approximately 130 million daily active unique visitors.

The Machine Learning Platform team owns the infrastructure that powers recommendations, content discovery, and user/content quantification, impacting Growth, Ads, Feeds, and Core ML teams.

• Define and lead the vision for Reddit's large-scale GenAI Platform, shaping strategy, architecture, and operating model.
• Contribute to the design, implementation, and maintenance of the LLM Gateway, including unified API endpoints, rate/token limit management, and intelligent failover.
• Drive strategy for a unified LLM Gateway supporting internally and externally hosted LLMs.
• Set direction for core platform capabilities such as rate/token limit management, intelligent failover, and production resilience.
• Shape Reddit's approach to an enterprise-grade RAG system.
• Establish strategic direction for agentic AI workflows and tool-use patterns.
• Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.
• Define best practices for observability, monitoring, governance, and operational excellence.
• Partner across engineering, product, and leadership to align platform investments with company priorities.

• 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment.
• Track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.
• Deep experience operating Kubernetes and other orchestration systems in large-scale production.
• Deep experience with cloud-based technologies for ML platforms, including AWS, Google Cloud Storage, and infrastructure-as-code (Terraform).
• Proficiency with programming languages and frameworks of ML, such as Go and Python.
• Excellent communication skills to articulate technical AI concepts to non-technical stakeholders.
• Strong focus on scalability, reliability, performance, and developer experience.
• Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus.

• Comprehensive healthcare benefits and income replacement programs
• 401k with employer match
• Global benefit programs for workspace, professional development, and caregiving support
• Family planning support
• Gender-affirming care
• Mental health & coaching benefits
• Flexible vacation & paid volunteer time off
• Generous paid parental leave

Base salary range: $292,500—$409,500 USD. Eligible for equity in the form of restricted stock units, and possibly commission.

Apply via the provided link.