Machine Learning Engineer, Answers Relevance
Reddit · Remote - United States
About this role
<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div> </div> </div> </div> </div> </div></div><p>At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the<strong> Answers Relevance </strong>team<strong> </strong>leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring <strong>Senior</strong> and <strong>Staff Machine Learning Engineers </strong>to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other!</p> <p><strong>What You’ll Work On<br></strong>You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.</p> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <p><strong>You don’t need experience in every area listed below. A background in a few may make you a great fit!</strong></p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <ul> <li>Recommendations, search, content understanding, or large-scale data and ML infrastructure</li> <li>SOTA large scale RecSys&nbsp;</li> <li>Foundational retriever models</li> <li>RAG systems, retrieval methods, LLM evaluation, or production LLM features</li> <li>Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration</li> <li>Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization</li> <li>Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality</li>...
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