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Member Of Technical Staff (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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

Member of Technical Staff (AI/LLMs): Developing algorithms and modeling techniques for LLMs and multimodal systems with an accent on foundational model development, dataset design, and pre- and post-training optimization. Focus on leveraging large-scale computing resources to advance the state of the art in Generative AI.

Location: USA, CA, Sunnyvale

Company

hirify.global AI is a research and development team dedicated to pushing the boundaries of Artificial General Intelligence and multimodal systems to improve customer experiences.

What you will do

  • Develop algorithms and modeling techniques to advance the state of the art in Large Language Models.
  • Lead foundational model development, including model training and dataset design.
  • Optimize models during pre- and post-training phases for multimodal systems.
  • Leverage heterogeneous data sources and large-scale computing resources to accelerate AI advances.
  • Translate research outcomes into integrated products and services for customers.

Requirements

  • PhD, or Master's degree and 1+ years of experience in CS, CE, ML, or a related field.
  • Strong background in neural deep learning methods and machine learning.
  • Experience building models specifically for business applications.
  • Proficiency in programming with Python, Java, or C++.

Nice to have

  • PhD in Computer Science, Computer Engineering, or Machine Learning.
  • Proven record of patents or publications at top-tier peer-reviewed conferences and journals.
  • Experience with PyTorch and other popular deep learning frameworks.
  • Expertise in generative deep learning models such as CNNs, GANs, VAEs, and NF.
  • Deep experience with GenAI technologies and Large Language Models.

Culture & Benefits

  • Inclusive corporate culture focused on delivering high-impact results for customers.
  • Access to world-class, large-scale computing infrastructure and diverse datasets.
  • Equal opportunity employment with a commitment to workplace accommodations and diversity.

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