{"id":1308581,"url":"https://alion.io/job/matter-intelligence-applied-ai-engineer-product","title":"Applied AI Engineer (Product)","company":{"id":2179048,"name":"Matter Intelligence","domain":"matter.com","url":"https://alion.io/company/matter-com","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","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":null,"salary_estimate":{"min_usd":170000,"max_usd":371000,"period":"year","method":"role_country_seniority_unknown","sample_n":2986},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Tool Use","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-09-15T02:09:17Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-09-30T18:35:31Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"About Matter Intelligence\nWelcome to Matter, where we are building the future of vision AI: pairing a world-first sensor that sees molecular chemistry, temperature, and 3D shape with a Large World Model that will be the most powerful intelligence engine for the physical world. This system doesn't just see what something looks like; it understands everything from a single pixel. We call this Superintelligent Vision.\nOur team has delivered technologies to Mars for NASA/JPL, designed advanced sensors for U.S. Defense, and frontier artificial intelligence systems. We are now building the next generation of space- and airborne-based sensing systems.\nAbout the Role\nMatter is hiring a Product Intelligence Engineer to turn physics-informed models, general-purpose AI, and ultraspectral data into secure, evidence-backed intelligence products. Reporting to Ignacio Cases Martin, this hands-on individual contributor will build agentic workflows, retrieval and tool integrations, reports, and human-in-the-loop experiences that help customers make operational decisions.\nKey Responsibilities\nBuild production workflows that combine physics-informed models, LLMs, VLMs, world models, scientific code, data services, and deterministic rules through stable interfaces.\n\nDesign durable execution across state, planning, model routing, retrieval, memory, tool use, retries, timeouts, checkpoints, human approval, and recovery.\n\nCreate evidence-backed outputs that distinguish source data, model inference, system-generated synthesis, user input, and unresolved uncertainty.\n\nPartner with product and design to build workflows for review, correction, comparison, approval, reporting, and recovery.\n\nBuild context, retrieval, memory, and indexing patterns that respect permissions, freshness, versioning, retention, and evidence lineage.\n\nEvaluate real system behavior across task success, groundedness, scientific validity, safety, latency, cost, and human intervention.\n\nQualifications\nRequired\nExperience building production AI applications, agent systems, workflow engines, backend services, or complex software products.\n\nStrong hands-on engineering skills across APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operation.\n\nPractical experience with LLMs or multimodal systems, retrieval, memory, tool use, model routing, structured generation, and common failure modes.\n\nProduct judgment and the ability to connect technical design choices to the user decision or workflow being improved.\n\nExperience building systems with security, permissions, data isolation, auditability, or human-approval requirements.\n\nPreferred\nExperience with scientific, geospatial, industrial, defense, autonomy, or other high-consequence intelligence systems.\n\nExperience building multimodal applications that combine imagery, maps, time series, documents, structured data, or sensor streams.\n\nExperience with agent evaluation, constrained generation, program synthesis, durable workflow systems, or mixed cloud and edge architectures.\n\nExperience working closely with product and design teams to ship customer-facing capabilities.\n\nWhat Success Looks Like\nCustomers receive timely, evidence-backed answers and workflows that support real operational decisions.\n\nAgentic capabilities behave predictably across failures, version changes, unavailable dependencies, and human-review boundaries.\n\nReusable product-intelligence components reduce one-off integration work without obscuring user control or scientific evidence.\n\nLocation\nThis role is based in San Francisco, CA, and requires onsite work.\nITAR Requirements\nTo comply with U.S. export regulations, applicants must be one of the following:\nA U.S. citizen or national\n\nA lawful permanent resident (green card holder)\n\nEligible to obtain required authorizations from the U.S. Department of State\n\nEmployee Offerings and Benefits\nAt Matter, we believe in rewarding high performance and providing the support you need to thrive. Our compensation and benefits package includes:\nCompetitive compensation based on experience\n\nEarly-stage equity package\n\n100% employer-paid health, dental, and vision coverage\n\nOpportunity to work on novel sensing, data, and AI systems with real-world deployment paths to the largest industries in the world\n\nMatter Intelligence is an equal opportunity employer. We welcome candidates from all backgrounds who can raise the ambition and performance of the team.","description_format":"text","description_chars":4468,"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"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T15:11:07Z"}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.612,"p_room":1,"age_days":16,"expected_fill_days":96,"reasons":["conf:11","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/matter-intelligence-applied-ai-engineer-product","json_url":"https://alion.io/job/matter-intelligence-applied-ai-engineer-product.json","meta":{"generated_at":"2026-10-01T21:03:59Z","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":3571,"day_limit":5000,"remaining_today":1429,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}