{"id":1669675,"url":"https://alion.io/job/snap-manager-machine-learning-engineering-web-ads-ranking","title":"Manager, Machine Learning Engineering, Web Ads Ranking","company":{"id":8998,"name":"Snap","domain":"snap.com","url":"https://alion.io/company/snap","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Management","role_family":"Management","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States","San Francisco, United States","Los Angeles, United States","New York, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":229000,"max":343000,"currency":"USD","period":"year","gross":null,"usd_annual":343000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"LLM","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-13T23:13:49Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.\nThe Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.\nSnap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.\nWe're looking for a Machine Learning Engineering Manager to join the Web Ads Ranking team at Snap!\nWhat you’ll do:\nLead a team of machine learning engineers and software engineers to build large-scale indexing, retrieval, and ranking systems that deliver the most relevant Snapchat ads and drive revenue\n\nCollaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope\n\nBuild the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes\n\nBuild and grow a high-performing team by raising the bar for engineering and ML excellence, developing talent, and helping shape Snap’s broader machine learning strategy\n\nKnowledge, Skills & Abilities:\nDeep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system\n\nExperience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging\n\nStrong management and mentorship skills, fostering a collaborative and innovative team culture\n\nExcellent verbal and written communication skills, with meticulous attention to detail\n\nAbility to effectively collaborate with stakeholders at all levels, both internally and externally\n\nProficiency in managing and solving ambiguous problems\n\nMinimum Qualifications:\nBachelor’s in a related technical field such as computer science or equivalent years of experience\n\n8+ years of post-Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience\n\n1 + year(s) of experience leading machine learning teams teams that focus on ranking or recommendations\n\nPreferred Qualifications:\nExperience with real-time recommendation or search ranking systems.\n\nExperience with building LLM based information retrieval or tagging system\n\nExperience working with distributed systems\n\nExperience working with machine learning, ranking infrastructures, and system designs\n\nAbility to proactively learn new concepts and apply them at work\n\nExperience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks\n\n\"Default Together\" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.\nAt Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).\nOur Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!\nCompensation\nIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.\nZone A (CA, WA, NYC):\nThe base salary range for this position is $229,000-$343,000 annually.Zone B:\nThe base salary range for this position is $218,000-$326,000 annually.Zone C:\nThe base salary range for this position is $195,000-$292,000 annually.This position is eligible for equity in the form of RSUs.If you believe this job description is missing required pay transparency information, please submit a report through this form:Job Description Pay Range Disclosure .","description_format":"text","description_chars":5990,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sales & Marketing","Advertising"],"lifecycle":[{"event":"open","at":"2026-10-02T06:27:26Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 275 · green card filings: 112","filings_12m":275,"filings_prev_12m":362,"green_card_filings_12m":112,"median_offered_wage_usd":178159,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.623,"p_room":0.45,"age_days":19,"expected_fill_days":10,"reasons":["conf:7","velocity","win:tail","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":343000,"is_top_pay":true},"html_url":"https://alion.io/job/snap-manager-machine-learning-engineering-web-ads-ranking","json_url":"https://alion.io/job/snap-manager-machine-learning-engineering-web-ads-ranking.json","meta":{"generated_at":"2026-10-14T11:16:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13424,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8998},"rest":"https://alion.io/mcp/rest/get_company?id=8998"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsnap-manager-machine-learning-engineering-web-ads-ranking"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsnap-manager-machine-learning-engineering-web-ads-ranking"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsnap-manager-machine-learning-engineering-web-ads-ranking"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/snap-manager-machine-learning-engineering-web-ads-ranking\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsnap-manager-machine-learning-engineering-web-ads-ranking"}]}