Machine Learning Intern (Summer 2026)

We’re building a system that replaces a lab technician + physics with a single neural network. This role is for exceptional students who want to own high impact ML research and work directly with founders. You’ll be part of the core team. No side projects. No throwaway intern work. You’ll be expected to think deeply, write clean code, and help us discover safer pesticides for the world.

What You’ll Work On

• Design and train new ML model architectures for molecular discovery.
• Build pesticide discovery agents.
• Create autonomous data collection systems for high-quality training data.
• Design experiments to identify weaknesses in our models.

Qualifications

• Solid practical ML engineering and software engineering fundamentals (Python, PyTorch/JAX/TensorFlow, NumPy/SciPy)
• Strong foundation in mathematics, algorithms, statistics, and data science principles.
• Good prompter and up to date with LLM research.

Bonus:

• Prior research in developing novel foundation model architectures or training methods.
• Familiar with distributed training on cloud providers.
• Strong performance in math/programming competitions or coursework.