Advanced Math Problem Solver

3 days ago

Vadodara, Gujarat, India beBeeMathematics Full time ₹ 24,00,000 - ₹ 48,00,000
Mathematical Research Consultant

We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems.

Research Objectives
  • Determine the number of real symmetric matrices of rank 2 whose entries are only 0 or 1.
  • How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3?
  • How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1?

These tasks are designed to find model weaknesses and improve training and evaluation workflows.

Candidate Profile
  • Academic Background: PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field.
  • Strong problem-solving skills with clear and structured reasoning.
  • Ability to communicate complex topics clearly and provide feedback with precision.
  • Research independence in a remote research environment and participation in team discussions.
  • Reliable computer and internet setup for remote assignments.

Note: This position requires completion or pursuit of a Ph.D. Applications without this criterion will not be considered.

Time Commitment & Contract Details
  • Commitments Required: at least 4 hours per day and minimum 20 hours per week with overlap with PST time.
  • Engagement type: Contractor assignment/freelancer.
  • Duration of contract: 1 month; [expected start date next week].
  • Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.
About the Opportunity

This opportunity accelerates the advancement and deployment of powerful AI systems, working on research that directly impacts the future of language model performance in mathematics and STEM.

Collaborate with a global network of experts shaping next-generation AI benchmarks and gain exposure to cutting-edge model evaluation strategies in an academic-industry hybrid setting.

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