Graduate Mathematics Coding Benchmark Author

IXO is engaging specialists to evaluate mathematical coding tasks with rigorous, testable reasoning. Your contribution is technical work: make the reasoning inspectable, identify substantive errors and provide evidence that supports a reliable assessment.

Work you will do

• Develop a computational mathematics problem with a well-defined objective, appropriate inputs and a reproducible environment.
• Verify the reference implementation against the underlying mathematical argument and relevant numerical checks.
• Document objective evaluation criteria, assumptions and edge cases so different correct implementations can be assessed fairly.

Required background and routes

• A completed PhD in mathematics, applied/computational mathematics or a related discipline, with demonstrated depth in at least two of computational finance, numerical linear algebra and computational mechanics.
• Scientific programming in Python or R (another suitable scientific language is acceptable for the science tracks); use Git/GitHub and Docker to submit reproducible work through pull requests and automated checks.

Preferred background

• Peer-reviewed publications, research software development or research-engineering experience.

Deliverables

Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.

Location and schedule

Remote assignments are scheduled by agreement, with no guaranteed weekly volume. Availability planning can include 40, 20 hours per week depending on the track. Indicative assignment lengths include 6 weeks. IXO confirms the applicable timing before work.

Pay and working terms

$75/hr USD. The agreed hourly rate, scope, schedule and acceptance criteria are confirmed before work starts. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.