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3 дня назад

Applied Machine Learning Engineering Manager (AI)

Формат работы
remote
Тип работы
fulltime
Грейд
lead
Английский
b2
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
Applied Machine Learning Engineering Manager (AI): Leading teams that design, refine, and deploy large-scale machine learning models for commerce with an accent on LLMs, agents, multimodal models, search, and personalized recommendations. Focus on integrating advanced AI systems into Shopify's ecosystem, solving complex real-world product problems, and guiding technical decisions across collaborative engineering teams.

Location: Remote - Americas

Company

hirify.global provides commerce infrastructure that enables millions of merchants and buyers to connect, serving entrepreneurs and enterprises across 175 countries.

What you will do

  • Lead teams designing, refining, and deploying large-scale machine learning models for commerce solutions.
  • Guide strategic initiatives integrating LLMs, agents, and multimodal models into hirify.global's ecosystem.
  • Apply machine learning to improve search, recommendations, and personalized commerce experiences.
  • Foster collaboration, technical excellence, learning, and innovation across engineering teams.
  • Participate in on-call work when required.

Requirements

  • Extensive experience managing teams that implement large-scale machine learning models.
  • Proficiency in TensorFlow or PyTorch and strong Python skills.
  • Proven problem-solving skills in complex, real-world product environments.
  • Excellent communication skills and experience thriving in dynamic settings.
  • Ability to complete a live pair-programming session using a personal IDE during the interview process.

Culture & Benefits

  • Digital-first working environment.
  • Fast-paced environment with significant change, complexity, ambiguity, and autonomy.
  • Emphasis on professional and personal growth, resilience, resourcefulness, critical thinking, and constructive disagreement.
  • AI-enabled tools may be used to screen, select, and assess applications, with outputs reviewed by the recruitment team.

Hiring process

  • Candidates should be prepared to interview within one week of applying.
  • The goal is to complete the full interview loop within 30 days.
  • The process includes a live pair-programming session.

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