Machine Learning Engineer

The Role

We are building the first generation of biological reasoning models—generative AI systems that can decode biology across scales, from molecules to whole organisms. The goal is to predict, understand, and program living systems in ways never before possible.

As a Machine Learning Engineer, you will design and scale deep generative models for biology. You’ll collaborate closely with experienced founders and domain experts to push the boundaries of how AI can be applied in life sciences.

What You’ll Do

• Build foundational models that can “read and write” biology at scale.
• Develop and experiment with generative architectures (transformers, diffusion, autoencoders) to capture complex, multi-scale biological data.
• Work on distributed training pipelines handling billions of parameters across multi-GPU and multi-node environments.
• Engineer efficient data pipelines for massive datasets, optimizing for speed, memory, and reproducibility.
• Design robust evaluation frameworks to ensure integrity, prevent leakage, and validate models against real-world biological problems.

What We’re Looking Fo

Who You Are

Bonus Points

Culture & Values

❤️ Ownership and pride in your work.

What’s Offered