Overview
Machine Learning Engineer, Biomolecule Design • Cambridge, MA USA
About Lila
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method. Learn more about this mission at www.lila.ai
If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
What You’ll Be Building
* Training and deploying the next generation of state-of-the-art models for biomolecule (DNA, RNA, and proteins) design.
* Scientific reinforcement learning environments to improve model performance.
* Autonomous pipelines that integrate experimental feedback with in silico predictions.
What You’ll Need to Succeed
* Proficiency with training, testing, and deploying models.
* Experience with machine learning frameworks (PyTorch, JAX, etc).
* Experience with ML models in biological domains.
* Strong software engineering skills and ability to rapidly develop working prototypes.
* Motivation for high code quality, performance, and design.
* Passion for the impact of AI for science.
Bonus Points For
* Experience with training and using state-of-the-art biomolecule design models (AlphaFold, Evo2, ESM, etc).
* Experience with Kubernetes.
* Experience with distributed systems or high-performance computing.
* Publications or collaborations in ML for biology.
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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