{"id":252236,"url":"https://alion.io/job/maintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2","title":"Senior Applied Scientist, Parts Intelligence & Inventory Optimization","company":{"id":5349,"name":"MaintainX","domain":"getmaintainx.com","url":"https://alion.io/company/maintainx","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":93,"open_postings":86,"ghost_share":0,"stale_share":0.093,"repost_share":0,"time_to_fill_p50_days":109,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Austin, United States","New York, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":131400,"max":236000,"currency":"USD","period":"year","gross":null,"usd_annual":236000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-09-04T21:28:25Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-25T05:34:23Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":50},"description":"MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders.\nIn August 2026 MaintainX became part of Autodesk, joiningAutodesk Operations Solutions, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.\nWe're looking for a Senior Applied Scientist to own the intelligence layer behind our Parts Agent - one of the most strategic bets on our Inventory & EAM roadmap. The agent sits on top of a multi-layer parts data model (PartMaster, StockRecord, PhysicalInstance) and is responsible for answering hard inventory questions: when to reorder, how to optimize stock levels across sites, which parts are at risk of stockout, and how to reconcile messy supplier catalogs into a clean parts master. Your focus will be building the decision models, optimization routines, and AI-powered tools that make those answers trustworthy enough for enterprise maintenance teams to act on.\nThis is a high-ownership role. You'll shape the modeling approach, partner closely with product and design on what inventory managers actually need, and ship iteratively against feedback from real enterprise customers.\nWhat you'll do\nOwn and evolve the optimization and ML models that power Parts Agent capabilities: reorder point prediction, economic order quantity, multi-site stock balancing, and demand forecasting.\n\nDesign and implement increasingly sophisticated inventory intelligence: vendor lead time modeling, criticality-weighted safety stock, substitution graph traversal, and proactive stockout alerting.\n\nBuild and maintain APIs and tools that expose these models to GenAI agent workflows (tool calling, structured input/output), enabling the Parts Agent to take grounded, explainable actions.\n\nPartner with PM and design to translate messy real-world inventory problems into tractable models, and push back when \"optimal\" isn't what operators actually want.\n\nIterate with real users via design partnerships and pilot deployments. Take feedback from parts managers and procurement teams seriously and reflect it back into the model.\n\nContribute to the surrounding Python service: performance, observability, testing, and reliability of the inventory intelligence runtime.\n\nHelp shape how parts intelligence integrates with the broader MaintainX product over time, including learning from historical usage and purchasing data to continuously improve model inputs.\n\nAbout you\n5+ years of professional software engineering or data science experience, with significant time spent on optimization, forecasting, or ML systems shipped to real users.\n\nStrong fluency with at least one optimization paradigm (LP/MILP, stochastic programming, simulation) and practical experience with demand forecasting or inventory management models.\n\nSolid Python service engineering: APIs, async, testing, profiling, observability. You can own a production service end-to-end.\n\nAcademic grounding in Operations Research, Industrial Engineering, Supply Chain, Statistics, or a related quantitative field; strong undergraduate foundation at minimum.\n\nTrack record of iterating data-driven systems with real users - you've felt what happens when a model recommendation gets rejected and you've redesigned the approach in response.\n\nProduct mindset and delivery orientation: you ship, you measure, you iterate. You care about the operator outcome, not just the metric.\n\nComfort with ambiguity. You can co-design the data model and feature schema with the team rather than waiting for a clean spec.\n\nFamiliarity with GenAI tooling (LLM tool calling, structured output, prompt design for constrained generation) is expected.\n\nNice to have\nExperience at a known product company shipping inventory management, supply chain, or procurement optimization at scale.\n\nExposure to learning-augmented optimization - using historical purchasing or consumption data to estimate lead times, priors, or constraint weights.\n\nDomain experience in MRO (Maintenance, Repair & Operations) inventory, spare parts management, field service logistics, or manufacturing supply chains.\n\nTech-lead experience or interest in growing into a tech-lead role on this team.\n\nOur mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.\nCompensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at benefits.autodesk.com. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.\nBelonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging. More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.","description_format":"text","description_chars":5597,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","Field Service Management Software","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-09-05T11:06:57Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2 · green card filings: 1","filings_12m":2,"filings_prev_12m":2,"green_card_filings_12m":1,"median_offered_wage_usd":139167,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":1}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.868,"p_room":0.72,"age_days":50,"expected_fill_days":109,"reasons":["conf:0","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":236000,"is_top_pay":true},"html_url":"https://alion.io/job/maintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2","json_url":"https://alion.io/job/maintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2.json","meta":{"generated_at":"2026-10-25T07:59:47Z","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":11404,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":5349},"rest":"https://alion.io/mcp/rest/get_company?id=5349"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmaintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2"},{"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%2Fmaintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2"},{"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%2Fmaintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2"},{"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/maintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmaintainx-senior-applied-scientist-parts-intelligence-inventory-optimization-2"}]}