Lila Sciences, Inc.
Machine Learning Engineer, Biomolecule Design
Lila Sciences, Inc., Cambridge, Massachusetts, us, 02140
Cambridge, MA USA
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.
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. 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. 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 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 building the capabilities to apply AI to every aspect of the scientific method. We are introducingscientific superintelligence to solve humankind's greatestchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. 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. Compensation
We expect the base salary for this role to fall between
$116,000–$170,000 USD per year , along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact. 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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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. 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. 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 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 building the capabilities to apply AI to every aspect of the scientific method. We are introducingscientific superintelligence to solve humankind's greatestchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. 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. Compensation
We expect the base salary for this role to fall between
$116,000–$170,000 USD per year , along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact. 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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