Role OverviewAs a Computational Mathematician, you will work independently and asynchronously to meet deadlines while improving AI model performance. You will source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios, and write scientific prompts based on sourced inputs.
What You Will Do
Your main day-to-day responsibilities will include building grading criteria to define correct answers, calibrating tasks against frontier models, and working with Python for scientific computing.
Why It Might Be a Fit
This role might be a fit for you if you have a PhD in mathematics, applied mathematics, computational mathematics, or a closely related field, and have depth in at least two subdomains, such as numerical linear algebra or computational finance.
Requirements
- PhD in mathematics, applied mathematics, computational mathematics, or a closely related field
- Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance
- Working proficiency in Python for scientific computing
- Comfortable with Git/GitHub and running code in Docker
Benefits
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