{"schemaVersion":"jobsearcher.job.v1","id":"a9fee0d163fdd2676e72a23e","url":"https://jobsearcher.com/jobs/a9fee0d163fdd2676e72a23e","canonicalUrl":"https://jobsearcher.com/jobs/a9fee0d163fdd2676e72a23e","title":"Staff Machine Learning Engineer, Consumer","description":"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 121 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.\r\nAt 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 powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.\r\nWe hire Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit.\r\nIf you love working on complex, real-world ML problems at massive scale, this role is for you.\r\nWhat You'll Work On:\r\nWe are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit's ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact.\r\nThis role sits at the intersection of\r\nRelevance & recommendation systems (content, search, notifications)\r\nAI-powered discovery & LLM-driven experiences\r\nContent understanding & representation\r\nLarge-scale ML infrastructure and pipelines\r\nWhat You'll Do:\r\nArchitect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding\r\nLead projects from ideation ? modeling ? experimentation ? production ? iteration\r\nDesign and improve recommender systems and ranking models across surfaces (feed, search, notifications)\r\nOptimize for user engagement, discovery, and long-term value\r\nBuild next-gen AI-powered search and recommendation experiences, including LLM-integrated systems\r\nDevelop pipelines that help users find high-quality answers and content across Reddit's corpus\r\nBuild and optimize content embeddings and representation models for users, communities, and content\r\nLeverage and advance LLMs and multimodal models for deeper understanding and personalization\r\nEvaluate model performance, improve accuracy, and reduce bias\r\nPartner with Product, Data Science, Infra, and UX teams to solve complex problems\r\nTranslate ambiguous business needs into scalable ML solutions\r\nMentor engineers and raise the bar across the organization\r\nEstablish best practices for ML development, experimentation, and responsible AI\r\nAct as a thought leader across teams and domains\r\nBasic Qualifications\r\n6+ years of experience building, deploying, and operating machine learning systems in production\r\nStrong programming skills in Python, Go, or similar languages, with solid software engineering fundamentals\r\nML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)\r\nHands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)\r\nExperience designing scalable ML pipelines, data processing systems, and model serving infrastructure\r\nAbility to work cross-functionally and translate ambiguous product or business problems into technical solutions\r\nExperience driving measurable impact through applied machine learning\r\nPreferred Qualifications\r\nSubject matter expertise in Recommender systems, search systems (lexical and semantic retrieval and ranking), advertising/auction systems, large-scale representation learning, or multimodal embedding systems, content understanding etc.\r\nFamiliarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)\r\nExperience working with real-time systems and low-latency production environments\r\nBackground in feature engineering, model optimization, and production monitoring\r\nExperience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale\r\nAdvanced degree in Computer Science, Machine Learning, or related quantitative field\r\nPotential Teams\r\nHome Experience\r\nML Understanding\r\nFeed Relevance\r\nAnswer Experience\r\nSearch and Answers Relevance\r\nSearch Experience\r\nBenefits\r\nComprehensive Healthcare Benefits and Income Replacement Programs\r\n401k with Employer Match\r\nGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\r\nFamily Planning Support\r\nGender-Affirming Care\r\nMental Health & Coaching Benefits\r\nFlexible Vacation & Paid Volunteer Time OffGenerous Paid Parental Leave\r\nThe base salary range for this position is: $230,000—$322,000 USD\r\nPay Transparency\r\nThis 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. Additionally, 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.\r\nTo provide greater transparency to candidates, we share base salary ranges for all U.S.-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.\r\nReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.\r\nJ-18808-Ljbffr","company":"Tensec","rawCompany":"tensec","city":"Springfield","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:21:31.048Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Machine Learning Engineer, Consumer","description":"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 121 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.\r\nAt 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 powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.\r\nWe hire Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit.\r\nIf you love working on complex, real-world ML problems at massive scale, this role is for you.\r\nWhat You'll Work On:\r\nWe are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit's ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact.\r\nThis role sits at the intersection of\r\nRelevance & recommendation systems (content, search, notifications)\r\nAI-powered discovery & LLM-driven experiences\r\nContent understanding & representation\r\nLarge-scale ML infrastructure and pipelines\r\nWhat You'll Do:\r\nArchitect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding\r\nLead projects from ideation ? modeling ? experimentation ? production ? iteration\r\nDesign and improve recommender systems and ranking models across surfaces (feed, search, notifications)\r\nOptimize for user engagement, discovery, and long-term value\r\nBuild next-gen AI-powered search and recommendation experiences, including LLM-integrated systems\r\nDevelop pipelines that help users find high-quality answers and content across Reddit's corpus\r\nBuild and optimize content embeddings and representation models for users, communities, and content\r\nLeverage and advance LLMs and multimodal models for deeper understanding and personalization\r\nEvaluate model performance, improve accuracy, and reduce bias\r\nPartner with Product, Data Science, Infra, and UX teams to solve complex problems\r\nTranslate ambiguous business needs into scalable ML solutions\r\nMentor engineers and raise the bar across the organization\r\nEstablish best practices for ML development, experimentation, and responsible AI\r\nAct as a thought leader across teams and domains\r\nBasic Qualifications\r\n6+ years of experience building, deploying, and operating machine learning systems in production\r\nStrong programming skills in Python, Go, or similar languages, with solid software engineering fundamentals\r\nML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)\r\nHands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)\r\nExperience designing scalable ML pipelines, data processing systems, and model serving infrastructure\r\nAbility to work cross-functionally and translate ambiguous product or business problems into technical solutions\r\nExperience driving measurable impact through applied machine learning\r\nPreferred Qualifications\r\nSubject matter expertise in Recommender systems, search systems (lexical and semantic retrieval and ranking), advertising/auction systems, large-scale representation learning, or multimodal embedding systems, content understanding etc.\r\nFamiliarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)\r\nExperience working with real-time systems and low-latency production environments\r\nBackground in feature engineering, model optimization, and production monitoring\r\nExperience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale\r\nAdvanced degree in Computer Science, Machine Learning, or related quantitative field\r\nPotential Teams\r\nHome Experience\r\nML Understanding\r\nFeed Relevance\r\nAnswer Experience\r\nSearch and Answers Relevance\r\nSearch Experience\r\nBenefits\r\nComprehensive Healthcare Benefits and Income Replacement Programs\r\n401k with Employer Match\r\nGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\r\nFamily Planning Support\r\nGender-Affirming Care\r\nMental Health & Coaching Benefits\r\nFlexible Vacation & Paid Volunteer Time OffGenerous Paid Parental Leave\r\nThe base salary range for this position is: $230,000—$322,000 USD\r\nPay Transparency\r\nThis 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. Additionally, 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.\r\nTo provide greater transparency to candidates, we share base salary ranges for all U.S.-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.\r\nReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:21:31.048Z","dateModified":"2026-06-25T01:21:31.048Z","hiringOrganization":{"@type":"Organization","name":"Tensec","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a9fee0d163fdd2676e72a23e"},"url":"https://jobsearcher.com/jobs/a9fee0d163fdd2676e72a23e"}}