LD]- Math Expert (India)

LD]- Math Expert (India)

30 Sep
|
ZettaMine Labs
|
India

30 Sep

ZettaMine Labs

India

Hello,

Greetings from ZettaMine!!!

Freelancing Opportunity :- We are currently hiring Math Experts for a short-term AI research and computational mathematics project across India and other eligible countries .

Role: Math Expert – Terminal Bench

Experience: Ph.D., Postdoctoral Experience, or Equivalent Advanced Technical Experience

Location: Bangladesh, India, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil & Colombia

Mode of Work: Remote

Start Date: Immediate

Description

We are seeking experienced Mathematics Experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science . You will design computational mathematics tasks involving numerical analysis, optimization, statistics, mathematical modeling, probability, differential equations, dynamical systems, operations research, and computational mathematics.

The role focuses on evaluating whether AI agents can formulate mathematical problems, implement reliable algorithms, work effectively in terminal environments, debug numerical workflows, and produce accurate and verifiable computational results.

Responsibilities

- Design authentic, multi-step computational mathematics tasks
- Translate mathematical and research workflows into self-contained terminal environments
- Prepare datasets, equations, model definitions, constraints, initial conditions, and expected outputs
- Implement expert solutions using Python, R, Julia, C/C++, Bash, or other relevant tools
- Create tasks involving optimization, numerical integration, differential equations, matrix computation, statistical inference, stochastic modeling, and algorithm analysis
- Define rigorous grading criteria based on numerical accuracy, convergence, complexity, feasibility, and mathematical correctness
- Establish appropriate tolerances, stopping criteria, stability requirements, and reproducibility controls
- Develop automated tests covering edge cases and alternative valid implementations
- Debug issues involving floating-point precision, solver failures, conditioning, convergence, and performance
- Document assumptions,



mathematical formulations, expected outputs, and known limitations

Core Domains

- Applied Mathematics
- Numerical Analysis
- Optimization
- Statistics & Probability
- Mathematical Modeling
- Differential Equations
- Dynamical Systems
- Operations Research
- Computational Geometry
- Scientific Computing

Requirements

- Ph.D., postdoctoral experience, or equivalent advanced technical experience in Mathematics, Statistics, or a closely related discipline
- Robust programming skills in Python, R, Julia, C/C++, Bash , or another relevant language
- Experience working in Linux or terminal-based environments
- Strong knowledge of numerical methods, optimization, statistics, mathematical modeling, or scientific computation
- Ability to independently implement, test, debug, and validate computational algorithms
- Strong understanding of numerical stability, error analysis, mathematical assumptions, and reproducibility
- Ability to develop rigorous computational problems with clearly defined expected outputs and evaluation criteria

Nice to Have

- Experience with NumPy, SciPy, SymPy, pandas, scikit-learn, JAX, PyTorch, CVXPY , or similar tools
- Familiarity with optimization solvers, probabilistic programming, differential-equation libraries, or numerical linear algebra packages
- Experience with Monte Carlo methods, stochastic processes, Bayesian inference, graph algorithms, or computational geometry
- Familiarity with Docker, Conda, Git, CI systems, and automated testing
- Experience developing mathematical programming challenges, benchmark tasks, or automated graders

Bonus Points Experience evaluating AI coding or terminal agents

Research Software Engineering experience

Experience with HPC or performance-critical numerical code

Publications or open-source contributions in applied mathematics or computational science

Experience designing tests that distinguish mathematically valid solutions from approximate or numerically unstable solutions

Interested candidates kindly share your updated CV and Google Scholar profile/link to [email protected]

Thanks & Regards,

RaviTeja K

ZettaMine

📌 LD]- Math Expert (India)
🏢 ZettaMine Labs
📍 India

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