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2 дня назад

Staff Machine Learning Engineer (Logistics)

137 100 - 201 600$
Формат работы
remote (только USA)
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
Staff Machine Learning Engineer, Fulfillment Planning (Machine Learning/Logistics): Building and operating large-scale production ML systems for real-time assignment, routing, and fulfillment estimation with an accent on logistics optimization, low-latency decisioning, and system reliability. Focus on designing 0→1 ML architectures, establishing model deployment and governance practices, and developing an LLM-inspired foundation model for logistics intelligence.

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

Salary: $137,100–$201,600, $167,800–$246,800, or $203,500–$299,300 USD annually, depending on market and level.

Company

hirify.global operates a logistics platform connecting consumers, merchants, and Dashers through delivery technology.

What you will do

  • Design, build, deploy, and operate large-scale production ML systems for assignment and fulfillment estimation.
  • Develop real-time decisioning solutions for delivery assignment, routing, batching, timing, and fulfillment quality.
  • Lead 0→1 ML initiatives and define architectures, modeling standards, and deployment practices for logistics systems.
  • Establish practices for model monitoring, retraining, reliability, and governance.
  • Collaborate with Product, Data Science, Engineering, and Platform teams across hirify.global business lines.
  • Define an LLM-inspired foundation model for intelligence across logistics and mentor other engineers.

Requirements

  • 8+ years of industry experience building and deploying production-scale machine learning systems.
  • Strong machine learning fundamentals and experience applying them to large-scale production systems.
  • Fluency in Python and hands-on experience with modern ML and deep learning frameworks.
  • Experience launching and operating mission-critical ML models or systems, including monitoring, retraining, reliability, and governance.
  • Ability to lead complex technical projects end to end and influence stakeholders across multiple teams.
  • Experience shipping large-scale ML models for recommendation, advertising, marketplaces, logistics, or related domains, including knowledge distillation into efficient production models.

Culture & Benefits

  • Individual contributor role with Staff-level technical scope and cross-functional influence.
  • 401(k) plan with employer matching and equity grant opportunities.
  • Medical, dental, vision, disability, and basic life insurance.
  • 16 weeks of paid parental leave, family-forming assistance, wellness benefits, and mental health support.
  • Flexible paid time off, 80 hours of paid sick time per year, and 11 paid holidays for salaried roles.
  • Commuter benefits match and other legally compliant paid leave benefits.

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