Описание
Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team builds foundation models that learn across biological sequence, molecular structure, and experimental data to power automated scientific discovery across Lila's life science domains. We are seeking a Senior or Principal ML Engineer to set the direction for our work on structure prediction and co-folding.
The team's current emphasis is protein–protein and complex prediction in support of antibody and biologics design, and on making those predictions good enough to drive real experimental decisions. You will own models end to end, from problem formulation and architecture through training at scale, evaluation, and integration into Lila's closed-loop discovery engine. This is a high-impact IC role for someone operating at the frontier of structure-aware generative AI for biology.
You will shape the technical agenda for structural foundation model research, collaborate closely with experimental scientists to close the computational–experimental loop, and represent Lila's work to the broader scientific community. , Boltz, Protenix), RFdiffusion, or protein language models Experience in computational protein design, particularly antibody and nanobody engineering Strong expertise in generative model architectures and training, with hands-on experience training models on distributed infrastructure Experience designing biological sequences or molecular structures with demonstrated wet-lab validation Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific applications Experience with agentic frameworks or active learning loops in scientific contexts Multiple high-impact first-author or senior-author publications, or open-source contributions in AI for Science, at premier venues (NeurIPS, ICML, ICLR, AAAI, Nature Methods, Nature Biotechnology, or equivalent)
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. S.
Benefits. S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. S. receive a comprehensive benefits program tailored to their region.
-based positions; international salaries are set to local market. Expected Base Salary Range $252,000—$374,000 USD About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI.
Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at [link] Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of hist
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