Research Fellow
Job in
Town of Tonawanda, Erie County, New York, USA
Listed on 2026-10-17
Listing for:
Reinforced Learning
Full Time
position Listed on 2026-10-17
Job specializations:
-
Research/Development
Research Scientist, Research Assistant/Associate, Research Analyst, Biomedical Science
Job Description & How to Apply Below
- 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.
- 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.
- 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.
- 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
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