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7 дней назад

Manager, AI/ML Engineering (AI/ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Manager, AI/ML Engineering (AI/ML): Translating business needs into pragmatic AI/ML solutions for internal operations with an accent on LLM-based applications, predictive models, and automation. Focus on guiding design and implementation of scalable AI systems, establishing processes for model development, deployment, and monitoring while managing a team of engineers and data scientists.

Location: Utah-based hybrid position requiring some regular in-office days each week. Employment contingent on passing background and credit check.

Company

Building a people intelligence platform that transforms HR through innovation and sustainable growth.

What you will do

  • Manage and develop a team of AI/ML engineers and data scientists, including coaching, performance management, and hiring.
  • Define and prioritize AI/ML work with internal partners across HR, Support, Finance, and GTM.
  • Translate business problems into technical requirements and execution plans.
  • Drive delivery of AI/ML solutions, including planning, prioritization, and tracking outcomes.
  • Guide design and implementation of AI/ML systems like LLM applications, predictive models, and automation.
  • Partner with engineering, data, and platform teams to deploy and maintain solutions in production.

Requirements

  • 8+ years of experience in software engineering, data science, or AI/ML.
  • 3+ years leading AI/ML projects and managing individual contributors.
  • Experience delivering AI/ML or data-driven systems in production.
  • Ability to define technical approaches from unclear business requirements.
  • Experience working with cross-functional partners outside of engineering.
  • Working knowledge of modern AI/ML methods (e.g., LLMs, applied ML, data pipelines, evaluation).
  • Ability to communicate technical concepts to technical and non-technical audiences.

Nice to have

  • Experience building AI/ML solutions for internal business operations (HR, support, finance, GTM).
  • Familiarity with responsible AI practices (evaluation, monitoring, guardrails).
  • Experience scaling teams, processes, or platforms in high-growth environments.
  • Strong systems thinking balancing short-term delivery with long-term sustainability.
  • Comfort operating in ambiguity.

Culture & Benefits

  • Great company culture recognized by Inc. and Salt Lake Tribune.
  • Comprehensive health, life, and disability insurance.
  • Generous leave: 4 weeks vacation, 12 company holidays, parental leave, volunteer time off.
  • 401k with up to 6% company match.
  • $2000 Paid-Paid Vacation bonus and EAP through Headspace.

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