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AI Evaluation Engineer – Mathematics & Algorithms Job
IT Jobs. Gramian Consultancy Jobs
Key Responsibilities
- Design and build multi-agent benchmark tasks requiring multi-step mathematical reasoning and algorithmic problem-solving
- Create complex, decomposable problems across domains such as:
- Competition mathematics
- Numerical analysis
- Combinatorial optimization
- Statistical inference
- Develop verification scripts to validate:
- Numerical outputs (with tolerance thresholds)
- Proof correctness and logical steps
- Algorithmic outputs and constraints
- Write clear, structured problem statements with precise notation and defined outputs
- Design task decomposition strategies for parallel or multi-agent execution
- Implement computational solutions and validation pipelines using Python
- Work with containerized environments (Docker) for reproducibility and evaluation
Qualifications & Experience
- 5+ years in mathematics, quantitative research, or computational science
- Strong Python skills for scientific computing (NumPy, SciPy, SymPy or similar)
- Experience solving or designing complex mathematical / algorithmic problems
- Ability to create precise, verifiable outputs (no subjective problems)
- Experience with mathematical proofs or formal reasoning
- Familiarity with AI benchmarks or evaluation frameworks (e.g., SWE-bench)
- Comfortable working with Docker environments
- Solid understanding of numerical methods (precision, convergence, error bounds)
How to Apply
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