Назад
Company hidden
2 часа назад

Machine Learning Engineers

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Machine Learning Engineers (Python/AWS): Building, deploying, and maintaining targeting, risk, pricing, product relevance, and document-processing models with an accent on production systems, data analysis, and model infrastructure. Focus on monitoring distribution shifts, iteratively updating models, designing system architecture, and solving technically complex problems across disparate systems.

Location: Campbell, California, United States; on-site

Company

hirify.global develops financial products involving credit, pricing, customer performance data, and automated document processing.

What you will do

  • Build targeting models for the direct mail channel.
  • Develop risk models using credit bureau data and customer performance data.
  • Create pricing and product relevance models.
  • Build models that automate back-office document processing and other tasks.
  • Maintain production models and build infrastructure for iterative model updates.
  • Monitor data distribution shifts, adjust models, contribute to strategy, and participate in architecture, design, and code reviews.

Requirements

  • Experience taking product models from idea through delivery.
  • Experience leading large, technically complex projects with many moving parts.
  • Extensive experience working with disparate systems.
  • Experience with production-grade compilers, operating systems, or large distributed systems.
  • Ability to work independently in new environments and learn detailed underlying systems and processes.
  • Collaborative approach to software architecture, product strategy, and user research.

Culture & Benefits

  • Early-stage environment with broad ownership and changing problems.
  • Every voice contributes to company decisions and strategy.
  • Close collaboration across product, architecture, and user research.
  • Opportunity to work deeply across the product space and identify new opportunities through data and models.

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 →