Deep expertise in ml frameworks like pytorch or jax
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine through its Foundation Models team
Job Summary
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine through its Foundation Models team.
The role involves designing and implementing foundational models end-to-end, from problem formulation to integration into a closed-loop discovery engine.
Candidates will receive competitive base compensation with bonus potential, generous early-stage equity, and comprehensive benefits including medical, dental, vision, and paid parental leave.
Matching Summary
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine through its Foundation Models team.
Salary
Base: $268,000 - $384,000 USD; Bonus/Equity: Bonus potential and generous early-stage equity; Benefits: Comprehensive program including medical, dental, vision, and paid parental leave
Skills & Requirements
Must-have
PhD in Computer Science or related field
Large-scale generative model training experience
Deep expertise in ML frameworks like PyTorch or JAX
Experience with distributed training infrastructure
Fluency in machine learning and life science domains
Nice-to-have
Computational protein design and antibody engineering
Wet-lab validation of biological sequences
Contributions to open-source ML tools or datasets
Experience with agentic frameworks or active learning
Publications at premier AI for Science venues
Key Requirements
PhD in Computer Science, Machine Learning, or Computational Biology
Multiple high-impact first-author publications at premier venues
Demonstrated ability to drive research programs independently