Modeling Population Jobs in San Francisco, CA

a model behaves the way it does.

Role Own the analytical model of the geostationary (GEO) radiation environment, modeling trapped particle populations (AP8

We're training multimodal foundation models for radiology. Eden is the diagnostic system of record at the centers we serve.

and support better individual- and population-level decisions.

, and LLM-based approach to determine what is most useful Investigating why model performance differs across populations, workflows, labels, or operational

Define world-state & simulation – Model the canonical state of a patient’s journey across time.

By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy

Post-Training and Model Improvement Expertise Have materially improved model behavior through post-training or model adaptation

Experience applying newer modeling approaches, such as learned representations, transformers, or foundation models, to improve a production ML use

Own the reliability, latency, and usability of systems that run continuously against live model endpoints.

Consistently turn vague problems into shipped work: models, tools, workflows, experiments, docs, dashboards, or decisions.

We train our own open models (RF-DETR). We build our own benchmarks grounded in real enterprise use cases (RF100-VL).

We train our own open models (RF-DETR). We build our own benchmarks grounded in real enterprise use cases (RF100-VL).

Ensure training materials are automated and accurate by population.

We train our own open models (RF-DETR). We build our own benchmarks grounded in real enterprise use cases (RF100-VL).