{"id":1361,"url":"https://alion.io/job/reddit-senior-staff-machine-learning-engineer-genai-platform","title":"Senior Staff Machine Learning Engineer, GenAI Platform","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":79,"open_postings":25,"ghost_share":0,"stale_share":0.64,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-21T05:46:15Z"}},"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":292500,"max":409500,"currency":"USD","period":"year","gross":null,"usd_annual":409500},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-04-01T13:23:11Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-21T17:43:44Z","board_verified":true,"closed_at":null,"days_open":203,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":203},"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.\nWho We Are:\n The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.\nWhat You’ll Do:\n As a Senior Staff Software Engineer, you will help 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 with confidence.\nContribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.\nLead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform.\nDefine the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.\nDrive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.\nSet the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.\nShape Reddit’s approach to an enterprise-grade RAG system\nEstablish the strategic direction for agentic AI workflows and tool-use patterns across the platform.\nOwn the end-to-end platform strategy from concept through production adoption and long-term evolution.\nDrive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.\nDefine best practices for observability, monitoring, governance, and operational excellence across GenAI systems.\nPartner across engineering, product, and leadership to align platform investments with company priorities and user needs.\nChampion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.\nInfluence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.\nWho You Might Be:\n10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.\nHave a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.\nDemonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes.\nBring deep experience operating Kubernetes and other orchestration systems in large-scale production environments.\nDeep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more\nProficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.\nExcellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders\nStrong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.\nStrong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus\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$292,500—$409,500 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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