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Autonomous scientific superintelligence platform for life, chemistry, and materials science

Chairman and Co-President

The Boston tech scene is riding a wave of optimism. Here’s why.

Sources: Lila Sciences, which uses AI tools to speed up the rate of scientific discovery, is in talks to raise a $2B Series B at an expected valuation of ~$8.5B (Bloomberg)

Lila Sciences Raises $350M in Series A Funding

Biotech's top money raisers of 2025

Principal Software Engineer, Instrument Simulations

Lila Sciences is seeking a Principal Software Engineer, Instrument Simulations to architect and lead the development of their next-generation laboratory automation platform. The role involves designing simulation infrastructure and integration layers that connect AI-driven experimental design with physical robotic systems.

Senior Software Engineer, ML Research

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. They are seeking a Senior Software Engineer to collaborate with Machine Learning Engineers and Researchers to develop and maintain ML libraries and tools. The role involves designing high-performance ML libraries, implementing CI/CD pipelines, and supporting ML workflows.

Research Product Manager, Post Training

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. They are looking for a Research Product Manager to set the vision for foundational models, defining capabilities and performance to translate research into real-world impact.

Staff / Principal Research Engineer, AI Safety, Technical Mitigations

Lila Sciences is building a talent-dense AI safety team to prepare for risks from scientific superintelligence. The role involves leading the development of safety systems tailored to the company's scientific capabilities and ensuring safe deployment through technical safeguards.

Co-Op, Next Gen Engineering

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. The co-op position offers students the opportunity to collaborate with engineering teams, gain hands-on experience in software and hardware development, and contribute to innovative projects in scientific automation.

Director of Product, Life Sciences

Lila Sciences is looking for a Director of Product, Life Sciences strategic and visionary product leader who will shape the future of our therapeutic research and development capabilities. The role involves leading the strategy, roadmap, and execution for products at the intersection of drug discovery, chemical synthesis, and scientific intelligence.

Manager / Senior Manager, Product Marketing, Life Science

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. They are seeking a strategic Product Marketing Manager to own the go-to-market for their life science product portfolio, translating complex AI and lab capabilities into compelling commercial offerings.

Senior Manager, Enterprise GTM, Materials

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. They are seeking an Enterprise Account Lead, Materials to define engagement strategies with Fortune 500 companies and drive enterprise sales for their AI-driven materials platform.

Manager / Senior Manager, Enterprise GTM, Materials

Machine Learning Scientist, LLM Training & Inference Research

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. As a Machine Learning Scientist, you will lead research on training and serving large language models for scientific applications, focusing on developing post-training strategies and scalable evaluations for LLM performance.

Senior Software Engineer, Scientific System of Record

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. They are seeking Senior Software Engineers with full stack experience to join their Scientific System of Record Team, where you’ll collaborate with engineers and scientists to develop innovative tools for automated scientific analysis.