Senior/Principal ML Scientist, Foundation Models for Life Sciences

Responsibilities

• Drive research on foundation models for life science applications, including biological sequence design and structure prediction
• Design, train, and evaluate large-scale generative models on biological and chemical data
• Contribute to the end-to-end ML process within the Lab-in-the-Loop lifecycle
• Translate complex biological questions into well-defined ML problems
• Represent Lila's foundation model research through publications and conference presentations

Requirements

• PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field
• Multiple high-impact first-author or senior-author publications at premier venues (NeurIPS, ICML, ICLR, etc.)
• Deep expertise in large-scale generative model architectures and distributed training
• Fluency across ML and at least one life science domain (molecular biology, genomics, protein engineering, etc.)
• Expertise in ML frameworks such as PyTorch, JAX, or TensorFlow
• Experience with large-scale distributed training infrastructure (AWS, GCP, or on-prem clusters)

Preferred Qualifications

• Experience in computational protein design, particularly antibody and nanobody engineering
• Experience designing biological sequences or molecular structures with wet-lab validation
• Contributions to open-source ML tools or benchmark datasets for scientific applications
• Experience with agentic frameworks or active learning loops in scientific contexts

Benefits

• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off and paid parental leave
• Educational assistance program
• Company subsidized lunch program

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges by combining advanced AI models with proprietary AI Science Factory™ instruments to execute the scientific method autonomously.