{"id":709814,"url":"https://alion.io/job/faire-staff-applied-aiml-scientist","title":"Staff Applied AI/ML Scientist","company":{"id":171793,"name":"Faire","domain":"faire.com","url":"https://alion.io/company/faire","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":14,"ghost_share":0,"stale_share":0.571,"repost_share":0.143,"time_to_fill_p50_days":54,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":246500,"max":339000,"currency":"USD","period":"year","gross":null,"usd_annual":339000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-08-25T20:18:10Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-23T13:55:12Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"About Faire\nFaire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.\nWe’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.\nAbout this role\nFaire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of Applied AI/ML Scientists specialize in developing algorithmic solutions for recommender systems, spend optimization, lifetime value (LTV) predictions, and much more. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.\nAt Faire, the Data team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.\nAs an Applied AI/ML Scientist tech lead, you will own vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. Because our users are businesses, there is a wealth of information about them that ML models can use to personalize their experience, grow their success, and keep the marketplace high quality and trustworthy. You will work across structured and unstructured data using methods that range from personalization and recommendations to causal inference, lifetime-value modeling, information extraction, and LLMs. You will act as a lead across multiple cross-functional workstreams and mentor or manage other scientists on the team.\nOur team already includes experienced Data Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for Applied AI/ML Scientists, and you will help take us there!\nWhat you’ll do\nDrive data science vision, strategy, and execution end-to-end, and act as a pod lead across cross-functional workstreams.\nDevelop personalized recommendation, retrieval, and ranking models, and build content and retailer-level embeddings to power better discovery and exploration experiences.\nOptimize marketing, acquisition, and incentive spend through targeting and personalization, and use experimentation and causal inference to measure the effectiveness of spend levers.\nPredict lifetime value to prioritize sales and acquisition effort and to personalize the new-user experience, even in a user's first session.\nImprove cold-start recommendations and exploration so that new users and new selection find the right audience quickly.\nExtract insights from internal and external data (e.g. reviews, search behavior, referrals, and third-party sources) to enrich leads and power personalization.\nUse deep learning, multi-modal LLMs, and human-in-the-loop training to understand listings and content, extract structured attributes, and detect issues with high accuracy.\nBuild detection, enforcement, and quality systems that reduce bad experiences in the marketplace (e.g. counterfeits, policy violations, poor service quality), using levers such as downranking and human-in-the-loop targeting.\nRe-engage users through personalized marketing and identify gaps and opportunities that drive increased engagement.\nMentor or manage Senior Applied AI/ML Scientists and Analytics Engineers.\nSolve challenging problems related to a two-sided marketplace.\nQualifications\n5+ years of industry experience using machine learning to solve real-world problems.\nExperience with relevant business problems (e-commerce, marketplaces, growth, personalization, incentives, or trust and quality).\nExperience with relevant technical methods (causal inference, predictive/LTV modeling, recommendations, information extraction, entity resolution, and/or deep learning and LLMs).\nStrong programming skills.\nAn excitement and willingness to learn new tools and techniques.\nExperience as a tech lead, mentoring other scientists or machine learning engineers, and the ability to set team strategy and lead model development without supervision.\nStrong communication skills and the ability to work in a highly cross-functional team.\nGreat to Haves:\nHighly recommended: Master's or PhD in Computer Science, Statistics, or related STEM fields.\nExperience as a tech lead manager or people manager of applied ML / data science teams.\nPrevious experience in marketplace growth, incentive optimization, or trust and quality for a two-sided platform.\nPrevious experience with deep learning or language models.\nSalary Range\nSan Francisco: the pay range for this role is $246,500 to $339,000 per year. \nThis role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change.\nHybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. \n\nWhy you’ll love working at Faire\nMove fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.\nEquipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.\nBest in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.\nReal rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.\nBelonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.\nFaire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.\nFaire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.\nFaire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)\nPrivacy\nFor information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)","description_format":"text","description_chars":8176,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Wholesale"],"lifecycle":[{"event":"open","at":"2026-09-11T04:26:58Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.543,"p_room":0.55,"age_days":58,"expected_fill_days":54,"reasons":["conf:1","stale_co","velocity","win:tail"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":339000,"is_top_pay":true},"html_url":"https://alion.io/job/faire-staff-applied-aiml-scientist","json_url":"https://alion.io/job/faire-staff-applied-aiml-scientist.json","meta":{"generated_at":"2026-10-23T16:28:14Z","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":24937,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":171793},"rest":"https://alion.io/mcp/rest/get_company?id=171793"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffaire-staff-applied-aiml-scientist"},{"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%2Ffaire-staff-applied-aiml-scientist"},{"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%2Ffaire-staff-applied-aiml-scientist"},{"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/faire-staff-applied-aiml-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffaire-staff-applied-aiml-scientist"}]}