LLM Evaluation Architect: End-to-End Pipelines

Mango Global Technologies

New York (NY)

On-site

USD 220,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Employee assistance program

Job summary

Mango Global Technologies is seeking a Machine Learning Engineer for Evals to own end-to-end evaluation of an AI memory and identity system, shaping quality metrics and building evaluation infrastructure for rapid iteration across models.

The role requires 3+ years of LLM evaluation experience, production-grade Python, onsite NYC five days per week, and unrestricted US work authorization; visa sponsorship is not available.

Qualifications

  • 3+ years of professional experience designing and owning LLM evaluations
  • Experience designing, building, and running LLM evaluations end to end
  • Production-quality Python experience including testing, maintainability, debugging and releases
  • Experience creating evaluation methodologies, not just executing benchmarks
  • Strong ability to investigate model or agent failures using traces, outputs and experiments
  • Willingness to work onsite in New York City five days per week
  • Unrestricted U.S. work authorization; visa sponsorship is not available

Responsibilities

  • Define evaluation criteria to determine improvements in evolving representations
  • Build infrastructure to measure improvements and track outcomes over time
  • Use results to identify failures and drive fixes in engineering or research
  • Design novel evaluation methodologies when ground truth is unavailable
  • Develop scoring frameworks, metrics, rubrics, and diagnostic methodologies
  • Create production-quality Python pipelines and evaluation harnesses
  • Manage datasets, labels, experiment and model versions, and regression testing
  • Integrate experiment tracking and observability into evaluation workflows
  • Run experiments, document findings, and drive reruns and recommendations
  • Own the evaluation process end-to-end from research question to recommendation

Skills

LLM evaluations
Python engineering
Trace analysis
Research mindset
Production code

Education

CS/Math/ML degree

Tools

Python
PyTorch
Hugging Face/Transformers
Weights & Biases
Hydra
SQL
Kafka

Job description

Mango Global Technologies is seeking a Machine Learning Engineer for Evals to own end-to-end evaluation of an AI memory and identity system, shaping quality metrics and building evaluation infrastructure for rapid iteration across models.

The role requires 3+ years of LLM evaluation experience, production-grade Python, onsite NYC five days per week, and unrestricted US work authorization; visa sponsorship is not available.

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