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1 день назад

Research Scientist (AI)

141 000 - 244 000$
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

Research Scientist (AI): Developing state-of-the-art methods for Gemini, with a particular focus on multilinguality, cross-lingual transfer, and speech/machine translation. Focus on designing, implementing, and rigorously evaluating cutting-edge deep learning algorithms and data curation for multilingual generative AI.

Location: Mountain View, California, US (onsite)

Salary: $141,000–$244,000 + bonus + equity + benefits

Company

hirify.global is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery, prioritizing safety and ethics.

What you will do

  • Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multilingual generative AI.
  • Report and present research findings and developments clearly and efficiently internally.
  • Suggest and engage in team collaborations to meet ambitious research goals, while driving significant individual contributions.
  • Work in collaboration with Ethics and Governance teams to ensure ethical AI development.

Requirements

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or equivalent practical experience.
  • Relevant experience in deep learning research and development, particularly in generative AI and related to multilinguality and mixture-of-experts.
  • Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).
  • Track record of building high-quality research prototypes and systems.

Nice to have

  • Strong interest in multilingual LLMs.
  • Demonstrated experience in large-scale training of multilingual and multimodal generative models.
  • A track record of research or engineering achievements, including publications.
  • Experience with large-scale model training and distributed computing environments.
  • Experience working effectively in a collaborative research environment.
  • Experience initiating, leading, or significantly contributing to ambitious research projects.

Culture & Benefits

  • Highly collaborative, supportive, and dedicated environment where ambitious scientific exploration thrives.
  • Unique culture and work environment where long-term ambitious research can flourish.
  • Commitment to equal employment opportunity regardless of various protected characteristics.
  • Accommodation for disabilities or additional needs.

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