Research Engineer, Foundation Model
Core
Designing and training novel transformer architectures for tabular foundation models to scale from 10K to 1M+ samples and enable real-world deployment.
Role type
Research Engineer (Tabular Foundation Models)
Builds
Production-ready tabular foundation models and training/evaluation infrastructure
Domain
Artificial Intelligence / Machine Learning / Structured Data
Deliverable
production ML models
Required skills
Python, PyTorch, neural network architecture design, training dynamics analysis, scaling behavior analysis, software engineering practices, model efficiency optimization
Preferred skills
Open-source contributions, model distillation, inference optimization, on-device ML, tabular data expertise, time series forecasting
Technologies
PyTorch, Python, scikit-learn, pandas, NumPy
Responsibilities
Design and test novel architectures, run ablation studies, analyze scaling behavior, write training and evaluation infrastructure
Seniority
Mid-Senior, hands-on IC
