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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. 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.
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.
Requirements
- 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.
- 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.
- 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.
Skills
- LLMs
- VLMs
- World models
- Scientific code
- Data services
- APIs
- Stateful services
- Databases
- Asynchronous execution
- Testing
- Debugging
- Production operation
- Multimodal systems
- Retrieval
- Memory
- Tool use
- Model routing
- Structured generation
- Security
- Permissions
- Data isolation
- Auditability
- Human-approval
- Agent evaluation
- Constrained generation
- Program synthesis
- Durable workflow systems
- Mixed cloud and edge architectures
Location
- San Francisco, CA
Work Type
- Onsite
Experience Level
- Early-stage
- Competitive compensation based on experience
Benefits
- Competitive compensation
- 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
About the Company
- 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 built core infrastructure at OpenAI. We are now building the next generation of space- and airborne-based sensing systems.
Equal Opportunity
- Matter Intelligence is an equal opportunity employer. We welcome candidates from all backgrounds who can raise the ambition and performance of the team.