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Senior Staff Machine Learning Engineer, GenAI Platform

Reddit📍 Remote - United StatesEstimated: $80,000 - $120,000

✨ AI Insights & Summary

Reddit, the vibrant "community of communities," is seeking a visionary Senior Staff Software Engineer to lead the charge in shaping its large-scale Generative AI Platform. This is a unique opportunity to define the architecture, strategy, and operational model for AI innovation across the company, directly impacting recommendations, content discovery, and future product development. If you are a seasoned ML/AI Platform Engineer with a proven track record of scaling complex systems, a deep understanding of Kubernetes and cloud technologies, and a passion for enabling developers to build and deploy AI products with confidence, this role offers the chance to be at the forefront of AI evolution within one of the internet's most authentic conversational spaces.

Who We Are

Reddit is a community of communities, built on shared interests, passion, and trust. It's home to the most open and authentic conversations on the internet, with over 100,000 active communities and approximately 126 million daily active unique visitors.

What You’ll Do

As a Senior Staff Software Engineer on the Machine Learning Platform team, you will help define and lead the vision for Reddit’s large-scale GenAI Platform. You will shape the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. You will contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLMs, 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 LLM 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.

Who You Might Be

  • 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
  • A track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.
  • Demonstrated strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes.
  • 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 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.

Benefits

  • 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

Pay Transparency

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. The base salary range for this position is $292,500 - $409,500 USD.

AI in Hiring

In select roles and locations, interviews will be recorded, transcribed, and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. This information is used to evaluate your application and is not sold or disclosed to third parties for marketing purposes. Recordings are deleted promptly after a hiring decision is made.

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Job Overview

Posted5/14/2026
CategoryAI & Machine Learning
SourceGreenhouse

FAQ

Is this position remote?

The Senior Staff Machine Learning Engineer, GenAI Platform role is a remote opportunity. The location specified is Remote - United States.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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