Intern: Representation Learning for Molecules & Materials

Toyota Research Institute Inc.; Los Altos (CA); Hybrid; USD 62,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Paid time off

Job summary

Toyota Research Institute (TRI) invites applications for a paid 12-week internship in our hybrid CA program. You will collaborate with TRI researchers to study how machine learning models represent molecules and materials, exploring training data, objectives, and architectures to uncover shared representations and their physical significance.

The role emphasizes mathematical reasoning, computational experiments, and developing well-documented code.

Qualifications

• Currently enrolled in a doctoral program in a relevant discipline.
• ,

Responsibilities

• Implement and evaluate ML models for molecules and materials with reproducible workflows.
• 1 Design experiments to study representations across training runs and architectures.
• 2 Investigate geometry and information content of learned representations in relation to physics.

Skills

Python

Machine learning

Linear algebra

Optimization

PyTorch

Experiment tracking

Education

PhD candidate in materials science, CS, stats, applied math, ML, physics, or related

Tools

PyTorch

Reproducibility tooling

Job description

Toyota Research Institute (TRI) invites applications for a paid 12-week internship in our hybrid CA program. You will collaborate with TRI researchers to study how machine learning models represent molecules and materials, exploring training data, objectives, and architectures to uncover shared representations and their physical significance.

The role emphasizes mathematical reasoning, computational experiments, and developing well-documented code.