Machine Learning Engineer, Biomolecule Design

Machine Learning Engineer, Biomolecule Design

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 building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before.

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.

As a Research Engineer on the Biomolecule Design effort in AI Research team, you will be responsible for building the next generation of biological models that will be foundational to Lila's autonomous discovery loop. You'll work closely with researchers and engineers to train, test, and deploy models for experimentation. Your work will directly support advances in scientific models, reinforcement learning, and agentic AI capabilities.

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.

Proficiency with training, testing, and deploying models.

Have experience with machine learning frameworks (PyTorch, JAX, etc)

Experience with ML models in biological domains

Have strong software engineering skills and can quickly develop working prototypes

Motivated by strong code quality, performance, and design

Are passionate about the impact of AI for science.

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.

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.