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Talent Sourcer (Machine Learning)

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
Talent Sourcer (Machine Learning): Sourcing ML and DL researchers and engineers for high-impact roles, defining hiring strategies with managers, and evaluating outreach performance with an accent on advanced sourcing, talent mapping, and machine learning market knowledge. Focus on researching competitors and industry trends, building creative candidate outreach, and using sourcing metrics to improve hiring processes.

Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States; on-site work required 4 days per week.

Company

Quantitative trading firm applying machine learning and advanced quantitative research to large datasets to develop systematic trading strategies.

What you will do

  • Source ML and DL researchers and engineers for high-impact roles.
  • Work with managers to define hiring needs and create role-specific sourcing strategies.
  • Research competitors and industry trends to develop creative candidate outreach.
  • Track sourcing and outreach metrics and recommend process improvements based on findings.
  • Provide market intelligence and contribute ideas for new tools to attract talent.

Requirements

  • Bachelor’s degree.
  • At least 5 years of professional experience as a talent sourcer or recruiter.
  • Experience working in a highly selective hiring environment.
  • Strong sense of urgency, emotional intelligence, and intellectual curiosity.
  • Deep understanding of the machine learning landscape and where ML talent can be found.
  • Desire and aptitude to develop a functional understanding of the supported lines of business.
  • Experience with advanced sourcing techniques beyond job boards and LIR.
  • Ability to work on-site 4 days per week.

Culture & Benefits

  • Work in an intellectually driven and highly collaborative environment.
  • Collaborate with researchers, engineers, traders, managers, and recruiters.
  • Contribute directly to hiring strategy, firm growth, and employer brand awareness.
  • Work in a setting focused on scientific rigor, curiosity, innovation, and solving complex problems.
  • Visa sponsorship for work authorization is not available now or in the future.

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