Matter Intelligence is pioneering a new ultraspectral vision ecosystem that sees molecular chemistry, unlocking superintelligent vision for the physical world. Backed by Pear VC.
About the role
Matter is hiring a Signal, Data, and Evaluation Engineer to build the datasets, benchmarks, environments, and evidence that make our models and AI systems scientifically defensible. Reporting to Ignacio Cases Martin, this individual contributor will work across data curation, simulation and learning environments, model and agent evaluation, and release-quality evidence.
What they're looking for
- Experience in ML evaluation, dataset engineering, reinforcement-learning environments, simulation, scientific ML, test infrastructure, or production AI systems
- Strong foundations in statistics, experimental design, benchmark validity, distribution shift, calibration, reward design, and evidence-based acceptance
- Fluency in Python and modern machine-learning frameworks, with the software engineering discipline to build tested modules, data contracts, or services
- Experience converting qualitative model or agent failures into reproducible datasets, tests, or environment scenarios
- Ability to reason across the complete data path and identify how acquisition, transformation, indexing, orchestration, and presentation affect correctness
- To comply with U.S. export regulations, applicants must be one of the following:
More about this role
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.
Matter is hiring a Signal, Data, and Evaluation Engineer to build the datasets, benchmarks, environments, and evidence that make our models and AI systems scientifically defensible. Reporting to Ignacio Cases Martin, this individual contributor will work across data curation, simulation and learning environments, model and agent evaluation, and release-quality evidence.
Build versioned dataset workflows for collection, curation, filtering, labeling, ground truth, synthetic data, hard-negative mining, contamination controls, and train-evaluation isolation.
Design...
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