AI Lab Research Engineer

Flagship Pioneering • Full-time • Cambridge, MA, US • 6d ago

🚀 About Lila Sciences

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai  

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.

🌟 Your Impact at Lila

Lila Sciences is at the forefront of reimagining how scientific research is conducted through cutting-edge machine learning and AI. We are seeking talented and visionary AI Lab Research Engineer with relevant experience in developing scientific AI models to tackle complex, multi-step problems across domains to join our team. Title will be determined by merit and experience level. 

In this role, you will design, train, and deploy advanced AI agents capable of performing sequential decision-making, reasoning, and task completion in scientific contexts.

As an AI Lab Integration Research Engineer at Lila Sciences, you’ll work alongside experts in biology, materials science, automation, and other disciplines to push the boundaries of what’s possible with AI-driven research. You’ll play a key role in building agents that can reason, plan, and execute tasks across diverse scientific challenges, ultimately accelerating discovery and innovation.

🛠️ What You'll Be Building

Develop AI agents capable of solving complex, domain-specific scientific problems through sequential decision-making and multi-step reasoning.
Train and fine-tune models to adapt to specific scientific domains, ensuring robust performance on real-world research tasks.
Implement rigorous testing frameworks and benchmarks to evaluate agent capabilities and measure progress toward scientific objectives.
Collaborate with cross-functional teams to integrate AI agents into experimental workflows, enabling faster iteration and discovery in areas such as biology, chemistry, and materials science.

🧰 What You’ll Need To Succeed

PhD or Masters in a quantitative discipline (e.g., Computer Science, Physics, Mathematics, Engineering) with a strong background in machine learning and one domain of science (e.g. biology or materials science).
Strong understanding of large language models (LLMs) and their application to scientific problem-solving, with a focus on domain adaptation and task-specific fine-tuning.
Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experience implementing scalable solutions for complex tasks.

✨ Bonus Points For

Demonstrated expertise in developing AI agents for complex, long-range tasks.
Experience building custom benchmarks or evaluation frameworks to test agent performance on domain-specific challenges.
Contributions to high-impact research in machine learning and AI, particularly in areas such as sequential decision-making, reasoning, or multi-step problem-solving (e.g., publications in top-tier conferences like NeurIPS, ICML, AAAI, ICLR).
Familiarity with scientific data pipelines and workflows.

🌈 We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

🤝 A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.