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Senior Data Scientist AI Evaluation

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist AI Evaluation (AI/ML): Designing rigorous evaluation systems for models and agents, including ground truth, scoring methods, and repeatable quality loops with an accent on statistical validation, production measurement, and safe rollout. Focus on calibrating automated graders against human ground truth, detecting regressions, and translating evaluation results into improvements for AI systems in brokerage infrastructure.

Location: Remote - Americas

Company

hirify.global is a US-headquartered brokerage infrastructure company providing APIs and financial services for stocks, ETFs, options, crypto, fixed income, and 24/5 trading.

What you will do

  • Design AI evaluations by defining ground truth, metrics, and scoring methods for models and agents.
  • Build repeatable evaluation loops that track quality over time and detect regressions before release.
  • Partner with Engineering and Analytics Engineering to operationalize evaluation harnesses.
  • Translate evaluation results into actionable recommendations for system improvements.
  • Establish evaluation guidelines, documentation, quality standards, and review practices.
  • Mentor colleagues and promote measurable AI quality across the organization.

Requirements

  • Track record of rigorous quantitative measurement, such as model evaluation, metric validation, or experimentation.
  • Strong statistical and machine learning foundation, including sample sizing, confidence intervals, significance testing, non-determinism, and validation of automated graders against human ground truth.
  • Proficiency in Python and SQL, with experience evaluating models in production environments.
  • Strong judgment in defining quality metrics and ground truth for ambiguous outputs.
  • Excellent communication, cross-functional collaboration, and problem-solving skills.
  • 6–10 years of experience in quantitative data science or machine learning, with focused experience in measurement or evaluation.

Nice to have

  • Production experience with LLM or agent evaluation, evaluation harnesses, LLM-as-judge calibration, and CI regression gates.
  • Experience evaluating text-to-SQL, analytics agents, or systems whose correctness can be verified against data.
  • Fintech, brokerage, or other experience involving business or risk consequences from incorrect answers.
  • Fluency with AI tools used in research and engineering workflows.

Culture & Benefits

  • Work with a globally distributed team of more than 400 people.
  • Health benefits and stock options.
  • One-time USD $500 home-office setup allowance for new hires.
  • USD $150 monthly stipend via a Brex Card.
  • Values include curiosity, empathy, and accountability.

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