Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
API
AWS @ 7
Agentic AI
CI/CD
Communication @ 6
GenAI @ 7
Generative AI
Go @ 6
IaC
Kubernetes @ 7
LLM
LLMOps
MLOps
Machine Learning
Observability @ 4
Python @ 6
RAG
Terraform @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Reddit's Machine Learning Platform team owns the infrastructure powering recommendations, content discovery, user and content quantification, and other systems supporting Growth, Ads, Feeds, and Core Machine Learning teams.
The role will define and lead the vision for Reddit's large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products reliably.
Responsibilities
- Lead and execute the vision, strategy, and roadmap for Reddit's large-scale GenAI Platform.
- Define the platform architecture and operating model for reliably building, deploying, and scaling GenAI products.
- Contribute to the design, implementation, and maintenance of the LLM Gateway, including unified API endpoints for internally and externally hosted LLMs.
- Drive capabilities for rate and token limit management, intelligent failover, uptime, reliability, 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 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.
- A track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.
- Strong execution skills, including turning strategy into action, driving complex initiatives end to end, and delivering high-quality platform outcomes.
- Deep experience operating Kubernetes and other orchestration systems in large-scale production environments.
- Deep experience with cloud-based technologies supporting ML platforms, including AWS, Google Cloud Storage, infrastructure as code with Terraform, and related tools.
- Proficiency with common ML programming languages and frameworks, such as Go and Python.
- Excellent communication skills, including the ability to articulate technical AI concepts to non-technical stakeholders.
- Strong focus on scalability, reliability, performance, and developer experience, with an understanding of the GenAI product development lifecycle.
- Knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefit programs supporting workspace, professional development, and caregiving.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
- Eligibility for equity in the form of restricted stock units; some positions may also be eligible for commission.
Compensation
The base salary range for this position is $292,500–$409,500 USD. Final offer amounts may vary based on skills, depth of experience, and relevant licenses or credentials. The role is remote in the United States.
Reddit is an equal opportunity employer committed to reasonable accommodations for qualified individuals with disabilities and disabled veterans. Interviews in select roles and locations may be recorded, transcribed, and summarized by artificial intelligence, with an option to opt out.