Intern on the Energy Markets team building quantitative risk models, Monte Carlo simulations, and automated tooling to price and risk-weight capacity positions in wholesale energy markets. Requires graduate-level quantitative background, strong programming skills, and demonstrated interest in capacity markets.

Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.

This role designs data collection and evaluation processes, analyzes dataset quality and model robustness, and trains large language models on distributed infrastructure. It requires strong software engineering, statistics, experimental design, machine learning, and cross-functional communication skills.

Develops, productionizes, and deploys end-to-end ML models for real-time clinical predictions using production Python/SQL. Owns model performance from prototyping to real-world impact, collaborating cross-functionally. Requires PhD + 3+ years shipping ML products.