Lila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.
Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.
At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.
If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.
The Role
Lila Sciences is seeking experienced, creative, and talentedMachine Learning EngineersacrossEngineer, Senior Engineer, and Principal Engineerlevels to join our team. Title will be determined by merit and experience level.
Join our agile team to reimagine the way scientific research is conducted! You'll build infrastructure to train and fine-tune cutting-edge models on scientific data. Collaborate with experts across biology, materials science, and automation to push boundaries. We’re looking for an ML pro skilled in large-scale generative models, data pipelines, and software engineering excellence. Ready to transform science? Let’s talk!
Candidates should have experience and/or interest in:
- Designing data pipelines for machine learning on multi-node GPU clusters.
- Training large language models including domain adaptation and retrieval-augmented generation (RAG) as part of an agentic framework.
- Implementing robust evaluation frameworks, including custom benchmarks, to rigorously test model performance and reliability.
- Integrating ML solutions into production environments.
Qualifications:
- Master’s or PhD degree in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience.
- Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).
- Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters).
Ideal:
- Kubernetes and Docker experience for scalable, reproducible workflows.
Working at Lila Sciences, you would have access to advanced technology in the areas of:
- AI experimental design and simulation.
- Automated liquid handling and instrumentation.
More About Flagship Pioneering
Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.
Flagship Pioneering and our ecosystem companies arecommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.
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