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2 дня назад

Applied Science Manager (Ai Engineering)

165 500 - 286 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Science Manager (AI Engineering): Driving innovation in AI domains, including Context Engineering in Agent-based Systems, Agent Evaluation Frameworks, and Next-generation Software Recommendations. Focus on shaping AI-driven software recommendations at AWS scale and mentoring other scientists.

Location: Must be located in the US

Salary: $165,500/year - $286,000/year

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

  • Design and optimize context engineering solutions for large language models and agent-based systems.
  • Establish evaluation frameworks and metrics for measuring agent performance and effectiveness.
  • Collaborate with cross-functional teams to translate scientific innovations into customer value.
  • Mentor Scientists and influence scientific approach across the organization.

Requirements

  • 3+ years of building machine learning models or developing algorithms for business application experience.
  • Experience programming in Java, C++, Python or related language.
  • 3+ years of scientists or machine learning engineers management experience.

Nice to have

  • 5+ years of scientists or machine learning engineers management experience.
  • PhD in Science, Technology, Engineering, or Mathematics (STEM), or Master's degree and 3+ years of working with or evaluating AI systems experience.
  • 5+ years of building large-scale machine learning and AI solutions at Internet scale experience.
  • Demonstrated experience in prompt engineering and context optimization for large language models.

Culture & Benefits

  • Employee-led affinity groups foster a culture of inclusion.
  • Value work-life harmony with striving for flexibility as part of the working culture.
  • Endless knowledge-sharing, mentorship and other career-advancing resources.

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