--- title: 'Applied AI Engineer (Product) at Matter Intelligence' canonical: 'https://feeny.ai/job/applied-ai-engineer-product-matter-intelligence-san-francisco-5fst39yb66jk' type: 'job' last_seen: '2026-10-18' --- # Applied AI Engineer (Product) at Matter Intelligence - **Company:** Matter Intelligence - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-15 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/matter-intelligence/d563c94e-5bf5-4492-8b0a-7cc11c1b4ea1 ## Job description ## About Matter Intelligence Welcome 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. Our 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. ## About the Role Matter 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. ## Key Responsibilities - Build production workflows that combine physics-informed models, LLMs, VLMs, world models, scientific code, data services, and deterministic rules through stable interfaces. - Design durable execution across state, planning, model routing, retrieval, memory, tool use, retries, timeouts, checkpoints, human approval, and recovery. - Create evidence-backed outputs that distinguish source data, model inference, system-generated synthesis, user input, and unresolved uncertainty. - Partner with product and design to build workflows for review, correction, comparison, approval, reporting, and recovery. - Build context, retrieval, memory, and indexing patterns that respect permissions, freshness, versioning, retention, and evidence lineage. - Evaluate real system behavior across task success, groundedness, scientific validity, safety, latency, cost, and human intervention. ## Qualifications Required - Experience building production AI applications, agent systems, workflow engines, backend services, or complex software products. - Strong hands-on engineering skills across APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operation. - Practical experience with LLMs or multimodal systems, retrieval, memory, tool use, model routing, structured generation, and common failure modes. - Product judgment and the ability to connect technical design choices to the user decision or workflow being improved. - Experience building systems with security, permissions, data isolation, auditability, or human-approval requirements. ## Preferred - Experience with scientific, geospatial, industrial, defense, autonomy, or other high-consequence intelligence systems. - Experience building multimodal applications that combine imagery, maps, time series, documents, structured data, or sensor streams. - Experience with agent evaluation, constrained generation, program synthesis, durable workflow systems, or mixed cloud and edge architectures. - Experience working closely with product and design teams to ship customer-facing capabilities. What Success Looks Like - Customers receive timely, evidence-backed answers and workflows that support real operational decisions. - Agentic capabilities behave predictably across failures, version changes, unavailable dependencies, and human-review boundaries. - Reusable product-intelligence components reduce one-off integration work without obscuring user control or scientific evidence. Location This role is based in San Francisco, CA, and requires onsite work. ITAR Requirements To comply with U.S. export regulations, applicants must be one of the following: - A U.S. citizen or national - A lawful permanent resident (green card holder) - Eligible to obtain required authorizations from the U.S. Department of State Employee Offerings and Benefits At Matter, we believe in rewarding high performance and providing the support you need to thrive. Our compensation and benefits package includes: - Competitive compensation based on experience - Early-stage equity package - 100% employer-paid health, dental, and vision coverage - Opportunity to work on novel sensing, data, and AI systems with real-world deployment paths to the largest industries in the world Matter Intelligence is an equal opportunity employer. We welcome candidates from all backgrounds who can raise the ambition and performance of the team. ## About Matter Intelligence ## Company Overview - **One-liner**: Matter Intelligence builds a new vision ecosystem pairing the world’s first ultraspectral sensor with a foundational Large World Model that understands the physical world at a molecular level. - **Entity Type**: Private (Seed stage – $12M raised) - **Headquarters**: El Segundo, California, United States - **Founded**: 2023 - **Founders**: Vishnu Sridhar (CEO), Nathan Stein (Co-Founder and Founding Scientist) ## Core Business - **Primary industry/industries**: Space Research and Technology, Artificial Intelligence, Advanced Imaging/Sensors - **Target customers**: B2B – autonomous systems manufacturers, infrastructure monitoring firms, defense/space agencies, insurance, and robotics companies. - **Mission or purpose statement**: “Giving machines the ability to take actions with superintelligence” by bridging visual pattern recognition with physics-based reasoning. ## Products & Services - **Ultraspectral Sensor**: Captures thousands of spectral bands from ultraviolet to thermal infrared, revealing unique molecular fingerprints of materials. Not just higher resolution – an entirely different kind of never-captured information. - **Large World Model (foundational AI)**: Combines physics-informed learning with sensor data to identify materials with chemical precision, predict system failures, and enable robots to safely handle objects. - **Geospatial AI Platform**: Accelerates computer vision and contextual geospatial modeling for understanding and predicting real-world events from space to surface. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding $12M (Seed round, October 2024) - **Notable Investors/Partners**: Lowercarbon Capital (lead seed), International Research Centre on Artificial Intelligence (non-equity assistance), and six other seed investors. - **Growth Signals**: - Headcount grew 230% YoY to ~29 employees (as of mid-2025). - Active job postings: 15 (monthly +7.1%, quarterly +25%). - LinkedIn followers grew 170% yearly. - Opened offices in San Francisco and El Segundo, CA. ## Competitive Advantages - **First-of-its-kind ultraspectral sensor** that captures chemical and material properties, not just shapes/colors. - **Physics-informed AI** (Large World Model) that understands matter at a molecular level – a deep moat in computer vision and remote sensing. - **Strong ties to NASA JPL** (7 employees from JPL) and other top talent sources (UCLA, Harvard, Palantir, Millennium Space Systems). ## Strategic Focus - **Current priorities**: Scaling the sensor-hardware production, maturing the AI foundation model, and expanding into frontier customer deployments (autonomous systems, infrastructure monitoring, defense, insurance). - **Direction for growth**: Building the “vision infrastructure” for machines – from satellites to robots – enabling superintelligent perception of the physical world. ## Why Work Here - **Culture highlights**: In-office work environment (San Francisco and El Segundo). Emphasis on cutting-edge R&D at the intersection of hardware, optics, and AI. Small, fast-growing team with direct impact. - **Remote/hybrid policy**: In-Office (on-site required) per Built In and LinkedIn. - **Notable perks or engineering culture**: Work on frontier technology that “gives machines superintelligence.” Team includes former NASA JPL, Palantir, and DroneDeploy engineers. Strong focus on delivery and real-world deployment. Early-stage equity opportunity. ## Sources 1. [matter.com](https://www.matter.com/) 2. [jobs.ashbyhq.com/matter-intelligence](https://jobs.ashbyhq.com/matter-intelligence) 3. [linkedin.com/company/matter-intelligence](https://www.linkedin.com/company/matter-intelligence) 4. [builtin.com/company/matter-intelligence](https://builtin.com/company/matter-intelligence) ## Other roles at Matter Intelligence - [Optical Engineer](https://feeny.ai/job/optical-engineer-matter-intelligence-el-segundo-0vf6ewydc4x3) — El Segundo, CA - [Mechanical Drafter](https://feeny.ai/job/mechanical-drafter-matter-intelligence-el-segundo-rpcz3meye3dv) — El Segundo, CA - [Structural Analyst](https://feeny.ai/job/structural-analyst-matter-intelligence-el-segundo-f1322egeqy7t) — El Segundo, CA - [Product Designer](https://feeny.ai/job/product-designer-matter-intelligence-san-francisco-r9br2xzvhdg5) — San Francisco, CA - [Scheduler and Analyst (Mid Career)](https://feeny.ai/job/scheduler-and-analyst-mid-career-matter-intelligence-el-segundo-1jg3y64sh1ag) — El Segundo, CA - [Mechanical Designer - Airborne](https://feeny.ai/job/mechanical-designer-airborne-matter-intelligence-el-segundo-ya82cwqpzwr8) — El Segundo, CA - [Head of Talent & Hiring](https://feeny.ai/job/head-of-talent-hiring-matter-intelligence-san-francisco-r5pgc5pxct7c) — San Francisco, CA - [Head of Sovereign Partnerships](https://feeny.ai/job/head-of-sovereign-partnerships-matter-intelligence-san-francisco-ge8xvfm4e931) — San Francisco, CA - [Head of Product & Deployment](https://feeny.ai/job/head-of-product-deployment-matter-intelligence-san-francisco-swyjjaerm6rt) — San Francisco, CA - [Head of Marketing](https://feeny.ai/job/head-of-marketing-matter-intelligence-san-francisco-ry1x9d5kk3tx) — San Francisco, CA