Research Fellow

Define and execute a full-time project with an Reinforced Learning research mentor, aligned with your interests and at least one core research area. Formulate research questions, design rigorous experiments, and analyze the results. Develop the datasets, methods, evaluations, or benchmark assets the project needs. Document methods and results clearly and work with Reinforced Learning’s research and engineering teams to make the work reproducible. Co-author a paper and work toward publication. Responsibilities Define and execute a full-time project with an Reinforced Learning research mentor, aligned with your interests and at least one core research area. Formulate research questions, design rigorous experiments, and analyze the results. Develop the datasets, methods, evaluations, or benchmark assets the project needs. Document methods and results clearly and work with Reinforced Learning’s research and engineering teams to make the work reproducible. Co-author a paper and work toward publication. Required Qualifications Significant academic, clinical, legal, or industry research experience. Clear technical communication and strong scientific writing skills. A strong record of research or publication and demonstrated ability to take a project from initial scoping to rigorous, reproducible results. A passion for advancing frontier AI and some understanding of model evaluation. Availability to work full time in San Francisco for 12–16 weeks. Preferred Qualifications Publications at leading conferences or in peer-reviewed journals PhD, MD, JD, or equivalent advanced degree in a relevant field, or late-stage PhD candidate Deep domain expertise in medicine, finance, law, STEM, or another specialized field Availability of 20+ hours per week; in-person preferred #J-18808-Ljbffr