Role & 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.

Preferred candidate profile

- Ph.D., postdoctoral experience, or equivalent advanced technical experience in Mathematics, Statistics, or a closely related discipline.





- Strong expertise in applied mathematics, numerical analysis, optimization, statistics, probability, mathematical modeling, differential equations, dynamical systems, operations research, or computational geometry.

- Strong programming skills in Python, R, Julia, C/C++, Bash, or another relevant programming language.

- Experience working in Linux or terminal-based environments.

- Experience with numerical methods, optimization, statistics, mathematical modeling, or scientific computation.

- Ability to independently implement, test, and validate computational algorithms.

- Solid understanding of numerical stability, error analysis, mathematical assumptions, and reproducibility.

- Familiarity with NumPy, SciPy, SymPy, pandas, scikit-learn, JAX, PyTorch, CVXPY, or similar tools is preferred.

📌 Math Expert (Terminal Bench) (Gurugram)
🏢 Crossing Hurdles
📍 Gurugram