[AV4WM1LD] Math Expert

ZettaMine Labs Pvt. Ltd.; India; Remote; INR 600,000 - 900,000; Part time

Job summary

ZettaMine Labs Pvt. Ltd. is seeking Math Experts for a short-term AI research and computational mathematics project spanning India. The role requires Ph.D. or equivalent advanced technical experience in Mathematics or Statistics, and offers remote work with immediate start.

You will design multi-step computational problems, implement and validate algorithms using Python, R, Julia, C/C++, or Bash, and ensure rigorous outcomes in terminal environments.

Qualifications

• Ph.D., or equivalent advanced technical experience in Mathematics, Statistics, or a closely related discipline.
• Mandatory: Ph.D., postdoctoral experience, or equivalent advanced technical experience.
• Strong programming skills in Python, R, Julia, C/C++, Bash, or another relevant language.
• Experience in Linux or terminal-based environments.
• Knowledge of numerical methods, optimization, statistics, mathematical modeling, or scientific computation.
• Ability to independently implement, test, debug, and validate computational algorithms.
• Understanding of numerical stability, error analysis, and reproducibility.
• Ability to develop rigorous computational problems with clear outputs and evaluation criteria.
• Experience designing authentic, multi-step computational mathematics tasks.
• Ability to translate workflows into self-contained terminal environments.
• Experience preparing datasets, equations, model definitions, constraints, initial conditions, and expected outputs.
• Expert solutions using relevant programming and computational tools.
• Experience with optimization, numerical integration, differential equations, matrix computation, statistical inference, stochastic modeling, or algorithm analysis.

Responsibilities

• Design authentic, multi-step computational mathematics tasks for Terminal Bench Science.
• Develop computational mathematics problems involving numerical analysis, optimization, statistics, mathematical modeling, probability, differential equations, dynamical systems, operations research, and computational mathematics.
• 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 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.
• Evaluate AI agents for mathematical problem formulation, reliable algorithms, terminal environments, and reproducibility of results.
• Document assumptions, mathematical formulations, expected outputs, and known limitations.
• Develop tests that distinguish valid solutions from numerically unstable ones.

Skills

Python programming

R programming

Julia programming

C/C++ programming

Bash scripting

Linux/terminal proficiency

Numerical methods

Optimization

Statistics

Mathematical modeling

Scientific computing

Algorithm analysis

Debug numerical issues

Education

Ph.D., postdoctoral experience, or equivalent advanced technical experience in Mathematics/Statistics

Tools

Python

R

Julia

C/C++

Bash

Linux

Job description

We are hiring Math Experts for a short-term AI Research and Computational Mathematics project across: India

Role: Math Expert

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

Mode: Remote

Engagement: Short-Term Project

Start: Immediate

Mandatory Eligibility Criteria

Technical Qualification:

• Strong programming skills in Python, R, Julia, C/C++, Bash, or another relevant programming 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.
• Experience designing authentic, multi-step computational mathematics tasks.
• Ability to translate mathematical and research workflows into self-contained terminal environments.
• Experience preparing datasets, equations, model definitions, constraints, initial conditions, and expected outputs.
• Ability to implement expert solutions using relevant programming and computational tools.
• Experience with optimization, numerical integration, differential equations, matrix computation, statistical inference, stochastic modeling, or algorithm analysis.

Educational Qualification:

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

Preferred: Advanced research or technical experience in Applied Mathematics, Numerical Analysis, Optimization, Statistics & Probability, Mathematical Modeling, Differential Equations, Dynamical Systems, Operations Research, Computational Geometry, or Scientific Computing.

Availability :

• Availability for the short-term project
• Immediate availability preferred
• Ability to work on computational mathematics tasks according to project requirements

What You’ll Work On:

• Design authentic, multi-step computational mathematics tasks for Terminal Bench Science.
• Develop computational mathematics problems involving numerical analysis, optimization, statistics, mathematical modeling, probability, differential equations, dynamical systems, operations research, and computational mathematics.
• 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.
• Evaluate 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.
• Document assumptions, mathematical formulations, expected outputs, and known limitations.
• Develop tests that distinguish mathematically valid solutions from approximate or numerically unstable solutions.