{"id":1385,"url":"https://alion.io/job/reddit-staff-machine-learning-engineer-consumer","title":"Staff Machine Learning Engineer, Consumer","company":{"id":16,"name":"Reddit","domain":"reddit.com","url":"https://alion.io/company/reddit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":19,"ghost_share":0,"stale_share":0.579,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":230000,"max":322000,"currency":"USD","period":"year","gross":null,"usd_annual":322000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Embeddings","optional":false},{"name":"GNN","optional":false},{"name":"Go","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"BigQuery","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Model Distillation","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true},{"name":"RAG","optional":true},{"name":"Ray","optional":true},{"name":"Redis","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-03-24T20:30:14Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-16T23:04:29Z","board_verified":true,"closed_at":null,"days_open":206,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":206},"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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.\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.\nWe are hiring 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.\nIf you love working on complex, real-world ML problems at massive scale, this role is for you.\nWhat You’ll Work On\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.\nThis role sits at the intersection of:\nRelevance & recommendation systems (content, search, notifications)\nAI-powered discovery & LLM-driven experiences\nContent and user understanding & large-scale representation learning\nLarge-scale ML infrastructure and pipelines\nWhat You’ll Do\nLead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions \nArchitect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities \nDrive measurable impact on user engagement, discovery, and long-term value\nCollaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities\nStay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge\nContribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment\nMentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing\nSet technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making\nRequired Qualifications\n7+ years of experience building, deploying, and operating machine learning systems in production\nDeep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc)\nExpert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers\nExperience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang\nExperience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring\nExcellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions\nTrack record of driving measurable impact through applied machine learning in real-world products\nPreferred Qualifications\nSubject matter expertise in one of the following domains:\nRecommender systems\nSearch systems (lexical and semantic retrieval and ranking)\nContent understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs or clustering, and multimodal understanding)\nFamiliarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)\nExperience working with real-time systems and low-latency production environments\nExperience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale\nStrong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations\nAdvanced degree in Computer Science, Machine Learning, or related quantitative field\nPotential Teams\nHome Experience\nML Understanding\nFeed Relevance\nAnswer Experience\nSearch and Answers Relevance\nSearch Experience\nBenefits\nComprehensive Healthcare Benefits and Income Replacement Programs\n401k with Employer Match\nGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\nFamily Planning Support\nGender-Affirming Care\nMental Health & Coaching Benefits\nFlexible Vacation & Paid Volunteer Time Off\nGenerous Paid Parental Leave \nPay Transparency:\nThis job posting may span more than one career level.\nIn 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. To learn more, please visit https://www.redditinc.com/careers/.\nTo provide greater transparency to candidates, we share base salary ranges for all US-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.\nThe base salary range for this position is:\n$230,000—$322,000 USD\nIn select roles and locations, the 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.\nDuring the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.\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. 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