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7 дней назад

Staff / Principal Research Scientist (AI)

270 000 - 500 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Staff / Principal Research Scientist (AI): Researching and developing foundation models, agentic systems, multimodal models, and evaluation methods for realtime consumer-facing AI with an accent on model quality, scaling, and practical research ownership. Focus on designing experiments, analyzing failures, publishing research, and shipping results into high-volume inference products.

Location: In-person at the Mountain View, California office, USA; relocation assistance is offered.

Base salary: $270,000–$500,000, plus bonus, equity, and benefits.

Company

hirify.global is a research lab and inference provider focused on realtime AI for consumer-facing applications, including speech models, LLM serving, large-scale inference infrastructure, and modular APIs.

What you will do

  • Research and develop foundation models, new architectures, and agentic AI systems.
  • Design benchmarks, evaluation loops, quality measurement methods, and failure analyses.
  • Investigate multimodal models, tool use, test-time compute, and world models.
  • Own research end to end, from framing questions and running experiments to writing papers and shipping results.
  • Build research that improves realtime AI products and high-volume inference systems.

Requirements

  • Strong practical experience in machine learning, natural language processing, or related AI research.
  • Experience with foundation model training, reinforcement learning, reward modeling, scaling, evaluation, or agentic systems.
  • PhD in machine learning or natural language processing, or equivalent practical experience.
  • Evidence of substantial public work, such as AI projects, interdisciplinary experiments, or open-source contributions.
  • Ability to work through ambiguous problems, design experiments, and connect research to shipped impact.
  • Willingness to collaborate in person at the Mountain View office, USA.

Culture & Benefits

  • Flat structure, fast iterations, and minimal process overhead.
  • In-person collaboration focused on solving difficult research problems.
  • Evaluation is treated as a first-class research product.
  • Support for sharing research that advances the field.
  • Relocation assistance, bonus, equity, and benefits.

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