Research Fellow

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