Research Scientist Intern (Ph

About the role

You'll be among the first scientists collaborating on an entirely new class of AI models. As a research scientist intern at an early-stage startup working on foundation models for tabular data, you'll explore countless exciting research ideas and problems across scaling, multimodal learning, specialized architectures, and production deployment.

What you'll do

• Work on scaling transformer architectures from 10K to 1M+ samples while maintaining performance
• Build multimodal models that combine text and tabular understanding on proprietary data
• Develop specialized architectures for time series, forecasting, and anomaly detection
• Create efficient inference methods for production deployment
• Research causal understanding in foundation models
• Design novel approaches for handling multiple related tables

What you'll need

• Currently pursuing or holding a PhD in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a related field (we will also consider exceptional Master's students)
• Deep experience with ML frameworks, especially PyTorch and scikit-learn
• Strong engineering fundamentals with excellent Python expertise
• Experience in data-science and working with tabular data or time series
• Publications at top-tier venues (NeurIPS, ICML, ICLR) or significant open-source contributions

What they offer

• Strong mentorship and professional development opportunities
• Work with state-of-the-art ML architecture, substantial compute resources, and a world-class team
• Comprehensive benefits including healthcare, transportation, and fitness