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4 дня назад

Research Engineer (VLM / Multimodal AI)

250 000$
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

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TL;DR
Research Engineer (VLM / Multimodal AI) (multimodal AI and robotics): Building multimodal AI systems that combine language, vision, agentic reasoning, and robotics to monitor critical infrastructure with an accent on VLMs, multimodal agents, and grounding language models in visual observations. Focus on designing retrieval, memory, and decision-making systems, analyzing incidents and faults, and connecting robotic perception with real-world execution.

Location: Mountain View, California, United States; onsite

Salary: $250,000 base plus equity

Company

Venture-backed AI and robotics startup building an AI-powered observability platform for critical infrastructure such as data centers, solar farms, wind farms, and oil refineries.

What you will do

  • Build multimodal AI systems combining language models, vision models, and agentic reasoning.
  • Develop vision-language models and multimodal agents that understand, analyze, and act on complex real-world data.
  • Design natural-language interaction systems for fleets of autonomous robots.
  • Build large-scale reasoning systems that analyze historical incidents, identify faults, and recommend corrective actions.
  • Develop infrastructure for grounding language models in visual observations from drones and robotic platforms.
  • Collaborate with robotics and autonomy engineers to connect perception, reasoning, and execution.

Requirements

  • Experience with vision-language models, multimodal foundation models, or vision-language-action systems.
  • Strong background in machine learning, deep learning, or applied AI research.
  • Experience with large language models, agentic systems, retrieval, or multimodal reasoning.
  • Strong software engineering skills and the ability to build production-grade AI systems.
  • Experience taking research concepts into real-world applications.
  • Exposure to computer vision, perception, robotics, autonomy, or embodied AI.

Culture & Benefits

  • Work in a fast-moving, highly autonomous startup environment.
  • Collaborate with robotics and autonomy engineers on real-world AI deployment.
  • Contribute to a platform already deployed with customers.
  • Work on autonomous drone operations following recent FAA approval.

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