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5 дней назад

Principal Scientist / Associate Director, Agentic AI Research (Materials Science)

288 000 - 420 000$
Формат работы
remote (Global)/hybrid
Тип работы
fulltime
Грейд
senior/director
Английский
c1
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

Principal Scientist / Associate Director, Agentic AI Research (Materials Science): Leading the technical direction for autonomous agentic AI systems to accelerate materials research with an accent on agentic frameworks, RAG, and multi-modal data. Focus on designing end-to-end autonomous research workflows and bridging the gap between foundational AI research and production-ready scientific tools.

Location: Cambridge, MA or San Francisco, CA, USA; open to international candidates (full-time employees outside the U.S. are supported)

Salary: $288,000 - $420,000 USD

Company

hirify.global is building Scientific Superintelligence to autonomously execute the scientific method across medicine, materials, and energy.

What you will do

  • Define and execute the agentic AI roadmap for materials science, including agentic frameworks and RAG.
  • Lead the design and delivery of end-to-end agentic systems grounded in fundamental scientific understanding.
  • Hire, mentor, and grow a cross-functional team of scientists and engineers while ensuring scientific rigor.
  • Partner with diverse internal teams to integrate agentic systems into real-world scientific programs.
  • Track state-of-the-art research in LLMs, reasoning models, and scientific ML to translate advances into internal direction.

Requirements

  • PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or a related field.
  • 5+ years of post-PhD research and applied ML experience.
  • Proven track record of shipping agentic systems, ML pipelines, or autonomous research workflows.
  • Deep expertise in LLMs, agentic frameworks, tool use, planning, and multi-modal data.
  • Working knowledge of materials science, computational chemistry, or condensed-matter physics.
  • Proficiency in Python and the modern ML software stack.

Nice to have

  • Publications, patents, or open-source contributions in agentic AI or scientific ML.
  • Production experience with workflow orchestration and distributed compute on cloud or HPC.
  • Community recognition such as invited talks or conference leadership in scientific AI.

Culture & Benefits

  • Competitive base compensation with bonus potential and generous early-stage equity.
  • Comprehensive medical, dental, and vision coverage for U.S. employees.
  • Flexible time off with generous company-wide holidays and paid parental leave.
  • Educational assistance program and commuter benefits for office-based staff.
  • Tailored comprehensive benefits programs for full-time employees outside the U.S.

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