Machine Learning Researchers (Reinforcement Learning) - Open Level

🚀 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 seeking experienced, creative, and talented Machine Learning Researchers (Reinforcement Learning) across Scientist, Senior Scientist, and Principal Scientist levels 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 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 reinforcement learning and software engineering excellence. Ready to transform science? Let’s talk! 

🛠️ What You'll Be Building

• Incorporating RL approaches with large language models (LLMs) to enhance reasoning, planning, and decision-making capabilities. 
• DPO, PPO, and/or RLHF for fine-tuning LLMs 
• Implementing robust evaluation frameworks, including custom benchmarks, to rigorously test model performance and reliability. 

🧰 What You’ll Need to Succeed

• PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field, with demonstrated contributions to top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI). 
• Deep expertise in RL, including experience with policy optimization, value-based methods, or model-based RL. 
• Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters).  
• Demonstrated ability to run rigorous experiments, document findings, and iteratively improve models based on quantitative results. 

✨ Bonus Points For

• Hands-on experience in multi-agent RL settings or hierarchical and offline RL methods. 
• Experience with online reinforcement learning in cost-sensitive settings.  
• Knowledge of LLM training/fine-tuning methods and experience with these methods at scale. 

🌈 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.