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15 часов назад

AI Research Scientist

Формат работы
remote (только USA)
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
AI Research Scientist (AI): Leading research and intelligence direction for a proactive smart assistant product focusing on context representation, reasoning, planning, and orchestration. Focus on designing model architectures, evaluation frameworks, alignment, safety, and exploring frontier AI techniques to build reliable, real-world machine learning systems.

Location

Location: United States, Remote

Company

hirify.global is a high talent density startup focused on building AI-native smart assistant applications for everyday users.

What you will do

  • Set and evolve research direction for core AI intelligence including context representation, memory, reasoning, planning, and orchestration.
  • Decide on designing new model architectures or leveraging frontier open-source/commercial models.
  • Define evaluation frameworks measuring real-world usefulness, robustness, safety, and long-term behavior.
  • Own alignment, safety, and guardrail strategies as product priorities.
  • Guide exploration of advanced AI techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.
  • Collaborate closely with product and engineering teams to shape early product intelligence direction.

Requirements

  • Location: Must be based in the United States
  • Deep experience building or evolving real machine learning systems in production.
  • Strong technical judgment on model behavior, failure modes, and long-horizon trade-offs.
  • Proficiency in Python, PyTorch or JAX, and GPU-based training/inference systems.
  • High ownership mentality and ability to make high-impact decisions with incomplete information.

Culture & Benefits

  • Small, world-class, high talent density team.
  • Collective decision-making and rapid execution balance.
  • Focus on shipping high-quality work and continuous learning.
  • Transparent and efficient hiring process with prompt decisions.

Hiring process

  • 3 to 4 interviews conducted via virtual meetings and/or onsite.
  • Evaluations by technical team members.

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