Bindwell
Discovering new pesticides with AI
Machine Learning Intern (Summer 2026)
About the role
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.
- Design experiments to identify weaknesses in our models and data.
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
- Up to date with ML research
Bonus:
- Prior research in developing novel model architectures or training methods.
- Familiar with distributed training on cloud providers.
- Strong performance in math/programming competitions or coursework.
About Bindwell
We use AI to discover new pesticides, because the ones we have now are failing — pests keep evolving, and the chemicals kill too many other things (like humans). Our models replace slow, expensive lab work, letting us discover new molecules 100× faster. Our first pesticide targets a Spodoptera with a novel mode of action. We’re a small team of young engineers from Caltech & Wolfram Research, with experience in drug discovery ML models, rebuilding agrochemical R&D around AI.
