PHD

Sourcebae; India; On-site; INR 5,233,000 - 10,466,000; Full time

Job summary

Sourcebae is seeking a Pod lead - Math (Terminal Bench Science) to oversee the creation and review of mathematical tasks, ensuring correctness, reproducibility and grader reliability. You will mentor trainers, manage quality and throughput, and align tasks with authentic mathematical research and computational workflows.

The role covers numerical and applied mathematics, scientific computing, optimization, statistics, mathematical modeling, computational algebra, and formal verification,

Qualifications

• PhD or equivalent advanced experience in mathematics or related field.
• Strong programming skills in Python, Julia, C/C++, MATLAB/Octave or CAS.
• Excellent Linux and terminal proficiency.
• Experience with numerical methods and scientific computing.

Responsibilities

• Review tasks end to end including problem statements, datasets, environments, reference solutions, and tests.
• Verify mathematical correctness, convergence, stability, and edge-case handling.
• Mentor trainers, manage quality and throughput, ensure authentic math research workflows.

Skills

Python

Julia

C/C++

MATLAB/Octave

Computer algebra systems

Education

PhD or equivalent

Tools

Linux/Unix

Terminal

Job description

Role: Pod lead - Math (Terminal Bench Science)

Budget: $ per hour

Role Overview

You will review trainer-created tasks for mathematical correctness, reproducibility, challenge, and grader reliability. You will also mentor trainers, manage quality and throughput, and ensure that tasks reflect authentic mathematical research and computational workflows.

The role covers numerical and applied mathematics, scientific computing, optimization, statistics, mathematical modeling, computational algebra, and formal verification.

What you'll do:

• Review tasks end to end, including problem statements, datasets, environments, reference solutions, and automated tests.
• Verify mathematical correctness, well-posedness, convergence, stability, conditioning, discretization error, and edge-case handling.
• Ensure tasks require genuine multi-step reasoning rather than lookup or a single library call.

What we're looking for:

• Ph.D., postdoctoral experience, or equivalent advanced experience in mathematics, applied mathematics, statistics, or a related field.
• Strong programming skills in Python, Julia, C/C++, MATLAB/Octave, or a computer algebra system.
• Strong Linux and terminal proficiency.
• Hands-on experience with numerical methods, scientific computing, symbolic computation, optimization, computational statistics, or mathematical modeling.
• Ability to rigorously evaluate mathematical derivations, algorithms, proofs, and computational results.