{"id":1209888,"url":"https://alion.io/job/reddit-staff-machine-learning-engineer-app-ads-modeling","title":"Staff Machine Learning Engineer, App Ads Modeling","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":76,"open_postings":12,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":84,"computed_at":"2026-09-25T05:45:01Z"}},"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":[],"countries":[],"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":"Machine Learning","optional":false},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-09-25T01:13:27Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T21:36:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nReddit has a flexible first workforce!\nWe’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling.\nThe ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org.\nResponsibilities:\nDesign and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking\nDevelop and optimize features including embeddings, contextual signals, and cross-session behavior\nWork closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis\nMentor other MLEs and contribute to modeling best practices across the org\nShape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)\nRequired Qualifications:\n7+ years of industry experience, including several years in applied ML roles\nStrong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)\nStrong background in recommendation systems, ads ranking, or similar domains\nExperience working with large-scale datasets and complex feature pipelines\nStrong problem-solving and experimentation skills\nState of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)\nKnowledge about Recsys or Ads funnel\nTrack record of delivering high-impact models in production settings\nComfort collaborating with infra and data teams on feature serving and training pipelines\nPreferred Qualifications:\nExperience with conversion modeling, app ads, or performance/brand ads\nExperience in ads marketplaces at peer companies\nPublications, patents, or industry contributions in applied ML or ranking systems\nBenefits:\n100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)\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. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.","description_format":"text","description_chars":5619,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Parental leave","Professional development","Restricted stock units","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Online Forums & Community Platforms","Social Networks"],"lifecycle":[{"event":"open","at":"2026-09-25T03:32:40Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":84,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":322000,"is_top_pay":true},"html_url":"https://alion.io/job/reddit-staff-machine-learning-engineer-app-ads-modeling","json_url":"https://alion.io/job/reddit-staff-machine-learning-engineer-app-ads-modeling.json","meta":{"generated_at":"2026-09-26T00:34:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":504,"day_limit":5000,"remaining_today":4496,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}