Назад
Company hidden
4 часа назад

Founding Machine Learning Engineer, Quality Intelligence (AI)

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Founding Machine Learning Engineer, Quality Intelligence (AI) (applied machine learning and data quality): Building production ML and evaluation systems for measuring, improving, and scaling the quality of expert human data with an accent on quality prediction, expert matching, anomaly detection, and frontier model evaluation. Focus on turning messy real-world signals into models and metrics, integrating backend systems with data pipelines, and owning high-impact infrastructure from design through production deployment.

Location: San Francisco, United States; on-site

Salary: $200,000–$300,000 per year, plus equity and bonus

Company

hirify.global is an applied research lab building data and evaluation solutions for foundation model development.

What you will do

  • Build ML and data systems for measuring quality across complex human data workflows.
  • Develop systems for expert matching, quality prediction, and anomaly detection.
  • Build evaluation infrastructure for tasks, reviewers, projects, and data deliveries.
  • Convert messy real-world signals into models, metrics, and product improvements.
  • Partner with engineers, domain experts, and operators to improve how high-quality data is created and reviewed.
  • Own high-impact systems from early design through production deployment.

Requirements

  • 3–6 years of relevant experience.
  • Strong software engineering background with experience shipping production systems.
  • Experience with applied ML, ranking, recommendations, search quality, marketplace systems, trust and safety, fraud, or data quality systems.
  • Strong data intuition and the ability to work with messy, ambiguous real-world signals.
  • Comfort working across backend systems, data pipelines, ML models, and internal tools.
  • Ability to move quickly in a high-ownership, fast-changing environment, with strong attention to quality, precision, and customer impact.

Culture & Benefits

  • Founding-level ownership and the opportunity to architect core infrastructure systems.
  • Meaningful equity and opportunities to lead major technical initiatives.
  • Collaboration with engineers, researchers, operators, domain experts, and users.
  • Work on production systems that directly support frontier AI model development.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →