Machine Learning Researchers (Reinforcement Learning) - Open Level

Cambridge, MA 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 introducingscientific superintelligence to solve humankind's greatestchallenges, 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 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. Lila Sciences is seeking experienced, creative, and talented Machine Learning Researchers (Reinforcement Learning) across Scientist, Senior Scientist, and Principal Scientist levelsto 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! 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. 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. 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. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Employment Title Select... Start date year End date month Select... End date year Current role Will you now or in the future require sponsorship for employment visa status (e.g., H-1B visa status)? * Select... If you'll require the company to commence ("sponsor") an immigration or work permit case in order to employ you, either now or at some point in the future, then you should select Yes. Otherwise, select No. Do you currently reside within the continental United States? * Select... Are you able to work in the specified job location, or are you willing to relocate for this position? * Select... When are you able to start a new position? * How did you hear about us? * How many of the following accomplishments will you have achieved before starting your next role? Options below answer box * Select... - At least one publication in a top conference (NeurIPS, ICML, etc.) or workshop - PhD-degree - At least one year of industry experience Please include links to your GitHub and any notable Open Source projects. * #J-18808-Ljbffr