Tonic AI ( https://tonic.ai ) builds the data infrastructure behind modern AI. We generate the synthetic environments that agents are trained and tested in, and we de-identify real enterprise data so
Core
Design and build systems for generating synthetic environments and de-identifying enterprise data to support training and evaluation of frontier AI agents.
Role type
Senior IC data scientist (synthetic data & NLP)
Builds
Synthetic environments, de-identified data pipelines, NER models, evaluation infrastructure
Domain
AI infrastructure, synthetic data generation, NLP, enterprise data privacy
Deliverable
production ML models
Required skills
synthetic data generation, persona modeling, task generation, NER model training, model evaluation, open-weight model fine-tuning, inference optimization, technical leadership
Preferred skills
PhD in relevant field, experience with frontier AI labs, experience with large-scale data synthesis
Technologies
NER models, open-weight models, large-scale data synthesis frameworks
Responsibilities
Design systems for longitudinally coherent synthetic environments, build synthesis models for de-identification, train and improve NER models, build evaluation infrastructure for agent outcomes, fine-tune open-weight models, expand coverage into new domains and languages, own model evaluation metrics, optimize inference for sensitive data, partner with frontier labs and enterprise teams, set technical direction for a senior team