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Head Of Machine Learning (Fintech)

414 000 - 506 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
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

Head of Machine Lhirify.globalg & Data (Fintech): Leading and scaling data and machine lhirify.globalg efforts, focusing on operational excellence for machine lhirify.globalg systems and moving ML models from research to production. Focus on generative AI and state-of-the-art machine lhirify.globalg algorithms to generate transformative business and societal impact.

Location: Hybrid in Mountain View, requiring in-office work 2 days a week. Must be based in the US.

Salary: $414,000 to $506,000, plus equity and benefits.

Company

hirify.global is a fintech company building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck.

What you will do

  • Define and own the data and machine lhirify.globalg roadmap in alignment with business goals.
  • Lead the ML & Data organization to design, develop, and optimize ML-based models and systems.
  • Drive a culture of scientific and engineering rigor, particularly to quantify the impact of features on relevant engagement metrics.
  • Collaborate with software engineers, product managers, and marketing to coordinate timely deployments from conception to release.

Requirements

  • MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience
  • 12+ years of experience in Engineering or Scientific domains.
  • 7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
  • Extensive breadth and depth of knowledge of machine lhirify.globalg algorithms.
  • Industry experience building and productionizing machine lhirify.globalg systems
  • Advanced knowledge of Python, SQL
  • Strong oral and written communication skills

Culture & Benefits

  • Diverse and inclusive team with a culture of belonging.
  • Focus on building a financial system that works for everyday people.

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