DataRobot seeks a post‑doctoral level research‑engineering intern to shape the architecture of a probabilistic foundation model. You will develop encoders for temporal, tabular, and mixed‑modality data, study attention mechanisms across variables, and implement, train, and evaluate PyTorch models in production‑quality code.
The role emphasizes precise reasoning about architectural capabilities, synthetic data generation, and robust experimentation to drive real‑world usefulness.
#J-18808-LjbffrProbabilistic Foundation Models Intern - Research Engineer in san francisco at Unknown Company
- Typical pay
- $71,760–$123,760
For context, most registered nurses earn between $71,760–$123,760 a year according to Bureau of Labor Statistics wage data. What this particular role pays is set by the employer — check the description above.
This position is listed as full time and onsite.