Machine Learning Researchers (Reinforcement Learning) - Open Level

Company Summary 

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 Sciences 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 Sciences, 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 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! 

Candidates should have experience and/or interest in: 

• 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. 

Qualifications: 

• 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. 

Ideal: 

• 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. 

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 
• Generative molecular design 

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 are 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.

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.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.