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15 часов назад

Staff ML Engineer – Search & Discovery Relevance (AI)

174 000 - 299 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/SK/China
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
Staff ML Engineer – Search & Discovery Relevance (AI) (Search, ML, and AI): Building next-generation search and discovery systems that match billions of products to customer intent with an accent on information retrieval, deep learning, large language modeling, and real-time serving. Focus on designing end-to-end ML infrastructure, improving search relevance and quality, solving complex technical blockers, and driving large-scale systems with measurable business impact.

Location: Mountain View, USA

Salary: $174,000–$299,000 per year

Company

hirify.global operates a large global e-commerce platform focused on improving everyday customer, employee, and partner experiences.

What you will do

  • Build end-to-end Search & Discovery systems and next-generation AI products.
  • Design and optimize machine learning infrastructure across serving, pipelines, and model development.
  • Improve search relevance, query understanding, and overall search quality through deep learning and large language modeling.
  • Drive key technical developments, remove blockers, and maintain operational excellence.
  • Identify high-impact opportunities using metrics and collaborate with partner teams and senior Search leadership.
  • Recruit and develop machine learning engineering talent.

Requirements

  • 6+ years of industry experience in technology companies.
  • Broad and deep knowledge of information retrieval, deep learning, large language modeling, data processing, and real-time serving.
  • Experience delivering large and complex systems with significant business impact.
  • Strong system design, problem-solving, communication, and cross-functional collaboration skills.
  • Ability to work in Mountain View, USA.

Nice to have

  • Experience with search and recommendation systems.
  • Experience with search relevance and query understanding.
  • Experience as a technical lead or team manager.

Culture & Benefits

  • Medical, dental, vision, life, AD&D, disability, and employee assistance program coverage.
  • Flexible Spending Accounts, Health Savings Account, and a 401(k) plan with company match.
  • 18–21 days of paid time off based on tenure and 12 public holidays.
  • Paid parental leave and pre-tax commuter benefits.
  • Free electric car charging station in Mountain View.
  • Base salary may be supplemented with bonuses, equity, or other compensation.

Hiring process

  • Application review, phone interview, onsite or virtual onsite interview, and offer.
  • Interview scheduling and results are communicated by email.

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