{"id":115084,"url":"https://alion.io/job/stand-insurance-machine-learning-team-lead","title":"Machine Learning Team Lead","company":{"id":2744,"name":"Stand Insurance","domain":"standinsurance.com","url":"https://alion.io/company/stand-insurance","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":10,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":270000,"max":325000,"currency":"USD","period":"year","gross":null,"usd_annual":325000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Data Augmentation","optional":false},{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"World Models","optional":false},{"name":"AI Agents","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-06-03T18:18:09Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-21T09:38:07Z","board_verified":true,"closed_at":null,"days_open":139,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":139},"description":"Why Join Stand: At Stand, you’ll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs. Insurance is simply the current delivery mechanism. The real product is a scalable risk engine, our Stand World Model.\nWe stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.\nOur leadership team includes former successful founders and CEOs from Metromile, PolicyGenius, WePay, and HotelTonight, bringing deep experience in building and scaling high-growth companies.\nBackground: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable.\nStand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can’t and operate with far less friction.\nRole Summary:\nAs the MLE Team Lead on the Applied Science team, you will lead the Machine Learning Engineering sub-team as it develops and deploys Stand's flagship AI capabilities spanning physics-informed machine learning, digital twins, computer vision, and spatial intelligence. You will own the technical direction, planning, and execution of critical AI initiatives, ensuring they align with business priorities, ship on schedule, and deliver measurable outcomes.\nThis is aplayer-coach role, combining direct technical work and the leadership work around it: people management, project planning, cross-team coordination, and process. Reporting directly to the Chief Science Officer, you will own key projects yourself while ensuring the broader MLE team is operating effectively, growing, and delivering real impact. You are the person who looks around corners, sees what the business needs, and turns \"the business needs X\" into \"the team builds Y.\"\nYou will partner across Applied Science and the business to transform research and emerging technologies into scalable systems that directly influence underwriting, pricing, mitigation, inspection, and customer decision-making.\nKey initiatives include:\nAdvancing physics-informed, AI-driven solvers and surrogate architectures\n\nAdvancing multimodal models, data augmentation, sensor fusion, and digital twin capabilities\n\nDriving R&D programs through to validation, deployment, and business adoption\n\nBuilding production-ready AI systems that accelerate, automate, and scale risk analytics\n\nWhat You'll Do:\nLead the Machine Learning Engineering sub-team, defining priorities, coordinating execution, and unblocking the team to deliver on critical AI initiatives\n\nManage and grow the team, running 1-on-1s and growth conversations, giving direct and timely feedback, managing performance, and mentoring engineers as the team scales\n\nDesign, build, and deploy machine learning systems spanning physics-informed AI, digital twins, computer vision, and spatial intelligence, contributing directly to core components\n\nOwn projects end-to-end, from problem definition and prototyping through production deployment, adoption, and ongoing performance\n\nExtend state-of-the-art models and surrogate architectures to accelerate simulation and risk analytics workflows\n\nGuide, support, and build scalable ML infrastructure, including data pipelines, training systems, evaluation frameworks, and production monitoring\n\nImprove how the team works, creating process improvements and maintaining traceability\n\nDrive cross-functional alignment, coordinating across Applied Science and the business and clearly communicating modeling decisions, tradeoffs, and status\n\nSet a multi-year vision for the MLE team's impact and articulate how its work moves the business\n\nCore Skills (Must-Haves):\nProficiency with modern ML tooling and infrastructure\n\nExperience leading engineers and technical initiatives, delivering complex projects through others as well as through direct individual contribution\n\nStrong project ownership and execution: planning, prioritization, stakeholder coordination, and delivery of complex technical programs from concept through production\n\nExperience combining physics-based modeling and machine learning, including simulation, scientific computing, surrogate modeling, and/or physics-informed AI approaches\n\nAbility to operate across disciplines, connecting technical development to business objectives and customer impact, and articulating those links to the team\n\nStrong, succinct communication and the judgment to balance research depth, delivery timelines, and business impact\n\nHighly self-motivated, proactive, and adaptable; comfortable in fast-paced, ambiguous environments where problems, interfaces, and priorities evolve\n\nNice to Haves:\nPrior experience as a people manager, specifically in high-growth environments\n\nExperience with computer vision, multimodal learning, or spatially-aware architectures\n\nFamiliarity with building agentic systems and LLM-powered workflows\n\nExperience in startups or zero-to-one technology development\n\nKnowledge of geospatial, remote sensing, or Earth observation datasets and systems\n\nCompensation:\nThe annual base salary range for full-time employees in this position is $270,000 to $325,000 plus meaningful Equity Grant.\nCompensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.\nBenefits:\nAbove-market Health, Dental, and Vision coverage\n\nWeekly lunch stipend\n\nFlexible time off + holidays\n\n401(k) plan\n\nCommuter benefits\n\nPAT & MAT Leave\n\nShort-Term and Long-Term Disability\n\nMonthly team gatherings\n\nIn-office perks\n\nAI in the Interview Process\nThoughtful use of AI tools is expected and valued at Stand. Candidates should be prepared to discuss how they use AI, how they evaluate its output, and how it informs their work. Strong communication, sound judgment, and the ability to clearly articulate experience and decision-making remain core requirements.\nSome parts of the interview process are designed to assess independent thinking, communication, and problem-solving. If you plan to use an AI assistant or LLM during any portion of an interview, please discuss it with your interviewer in advance.\nWork Authorization\nCandidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.\nEqual Opportunity Employment\nStand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.\nWe are committed to providing reasonable accommodations for qualified individuals. If you require assistance, please contact us at .\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nAI Use in Hiring\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us at .","description_format":"text","description_chars":7912,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Financial AI","InsurTech"],"lifecycle":[{"event":"open","at":"2026-06-03T18:18:09Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.215,"p_room":0.28,"age_days":139,"expected_fill_days":30,"reasons":["conf:0","stale_co","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":325000,"is_top_pay":true},"html_url":"https://alion.io/job/stand-insurance-machine-learning-team-lead","json_url":"https://alion.io/job/stand-insurance-machine-learning-team-lead.json","meta":{"generated_at":"2026-10-21T11:39:16Z","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":16439,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":2744},"rest":"https://alion.io/mcp/rest/get_company?id=2744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstand-insurance-machine-learning-team-lead"},{"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%2Fstand-insurance-machine-learning-team-lead"},{"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%2Fstand-insurance-machine-learning-team-lead"},{"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/stand-insurance-machine-learning-team-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstand-insurance-machine-learning-team-lead"}]}