Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
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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