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5 часов назад

Agent Research Engineer (AI)

160 000 - 320 000$
Формат работы
onsite
Тип работы
fulltime
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
Agent Research Engineer (AI): Advancing general learning agents through cutting-edge research into memory, reliability, and reasoning with an accent on holistic machine learning expertise, neural architectures, and systems engineering. Focus on prototyping and evaluating state-of-the-art models, building reliable agent systems, and solving complex reasoning challenges.

Location: On-site at the office in San Francisco or Westwood, Los Angeles

Salary: $160K–$320K base salary, plus equity and bonus

Company

hirify.global provides cloud computing infrastructure for AI projects and businesses and is building a decentralized AI computing platform.

What you will do

  • Lead research into AI agents, focusing on memory, reliability, and reasoning.
  • Prototype and evaluate novel state-of-the-art methods and models.
  • Advance general learning agents in collaboration with the technical founder and engineering team.
  • Apply architecture, coding, and communication skills across the technology stack.

Requirements

  • Deep expertise in systems engineering across the technology stack.
  • Strong background in machine learning theory and practice.
  • Broad knowledge of neural architectures and circuits, including transformers.
  • Experience with Python, LLMs, ANNs, and C++/CUDA.
  • Published research at top AI conferences.

Culture & Benefits

  • Flat structure with leadership earned through shipping excellent work.
  • Health, dental, vision, and life insurance.
  • 401(k) with company match.
  • Early-stage equity, onsite meals, and snacks.
  • Close collaboration with founders and technical leaders in an ambitious, fast-paced startup environment.

Hiring process

  • 15-minute virtual initial screening.
  • 30-minute virtual discussion covering Vast, systems, and architectures.
  • One-hour virtual LLM-assisted coding assessment, followed by a two-hour onsite meeting with the coding assessment team.
  • The process is targeted for completion within two weeks.

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