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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** reddit Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $230,000.0 - $322,000.0 - **Contract:** Permanent contract - **Skills:** High-Level Architecture, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Recommender Systems, Tensorflow, Pytorch, Large Language Models, Machine Learning Operations, Virtual Agents, Golang - **Published:** July 19, 2026 - **Apply:** https://www.workingnomads.com/job/go/1738869/ ## About the Role * 8+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred. * Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance. * Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow. * Experience working with LLM in production and utilizing generative AI to augment recommendation systems * Proficiency in object-oriented programming (Python, Golang). * Big Plus: experience with state of the art model architectures * Big Plus: experience building production Agentic AI frameworks. ## Description Reddit is home to some of the most valuable and engaging conversations on the internet. As a Staff Machine Learning Engineer on Notifications Relevance, you'll serve as a technical leader for one of Reddit's highest-leverage ML systems, helping millions of users discover relevant content, communities, and conversations every day. You'll drive the strategy, architecture, and execution of large-scale recommendation systems spanning targeting, budget optimization, retrieval, ranking, measurement, and emerging LLM-powered experiences. This role offers the opportunity to shape the future of engagement and retention at Reddit while pushing the boundaries of personalization and machine learning at massive scale. What You'll Do * Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience. * Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team. * Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. * Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization. * Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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