Lila Sciences · 1 hour ago
Machine Learning Engineer, Biomolecule Design
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. In this role, you will be responsible for building biological models and deploying them for experimentation, directly supporting advances in scientific models and AI capabilities.
Artificial Intelligence (AI)Life ScienceSoftware
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Lila Sciences
Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
H1B Sponsorship
Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
Funding
Current Stage
Growth StageTotal Funding
$550MKey Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M
Recent News
2025-12-17
MIT Technology Review
2025-12-15
Company data provided by crunchbase