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6 дней назад

Engineering Manager, Personalization (ML)

193 800 - 285 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Engineering Manager, Personalization (ML): Building ML ranking and recommendation systems, including intent agents, semantic understanding, multi-objective content blending, and real-time ranking, with an accent on LLMs, deep learning, and consumer personalization. Focus on leading and growing an ML engineering team, defining the personalization technology roadmap, and solving complex ranking and recommendation challenges across multiple business verticals.

Location: San Francisco, CA or Sunnyvale, CA, United States

Salary: $193,800–$285,000 USD annual base salary, plus potential equity grants

Company

hirify.global operates a consumer platform spanning delivery, grocery, reservations, going out, and advertising experiences.

What you will do

  • Lead the Personalization engineering team within the Core Consumer organization.
  • Build an intent agent that predicts consumer intent when the app opens and shapes the resulting experience.
  • Apply LLMs and deep learning approaches, including GNNs, MTL, and Transformers, to semantic understanding of ranked entities.
  • Develop multi-objective blending across reservations, going out, ads, and other business lines while balancing consumer, merchant, and hirify.global value.
  • Build real-time ranking systems that adapt to consumer signals.
  • Define the personalization strategy and technology roadmap with Product, Design, and Business stakeholders.
  • Coach, empower, and grow engineers while maintaining high engineering standards and scaling the team through internal development and external hiring.

Requirements

  • Bachelor’s, master’s, or PhD in Computer Science or an equivalent field.
  • 7+ years of industry experience.
  • At least 2 years of leadership experience.
  • Broad machine learning knowledge with a strong foundation in ML modeling.
  • Extensive experience building user-facing products and working directly with product managers.
  • Strong communication skills and the ability to partner with multidisciplinary teams.
  • Ability to guide and grow an engineering team in a rapidly changing business environment.

Nice to have

  • Experience leading successful applications of machine learning to real-world ranking and recommendation problems.
  • Experience with LLM-powered agents, semantic representations of users and content, multi-objective blending, or real-time ML systems.

Culture & Benefits

  • Comprehensive benefits for regular employees, including medical, dental, and vision coverage.
  • 401(k) plan with employer matching, paid parental leave, paid time off, and paid sick leave.
  • Flexible paid time off for salaried roles, plus 80 hours of paid sick time per year.
  • Wellness, commuter benefits matching, disability and basic life insurance, family-forming assistance, and mental health support.
  • 11 paid holidays.

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