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Research & Modeling Engineer (AI/Robotics)

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
Research & Modeling Engineer (AI/Robotics): Building and training multimodal and VLA models that power generalized physical AI systems for industrial robots with an accent on large-scale training, data strategy, and reliable real-world deployment. Focus on connecting data, model training, evaluation, and robotic execution while solving complex challenges in dexterous manipulation, optimization, and production-scale performance.

Location: Palo Alto, United States; on-site

Company

hirify.global builds physical AI and generalized robotic systems for real-world industrial deployment, starting with factory-floor applications.

What you will do

  • Design and run large-scale training pipelines for multimodal and VLA systems.
  • Own the complete data-to-deployment loop, including training, evaluation, and deployment on real robots.
  • Develop scalable infrastructure for data ingestion, model training, and rapid iteration.
  • Translate model outputs into reliable, high-performance robotic actions.
  • Work hands-on with robots to debug, iterate, and improve behavior.
  • Define data-quality, scale, diversity, and evaluation strategies while improving performance across real-world tasks.

Requirements

  • Experience building and training large-scale models such as LLMs, VLMs, or robotics foundation models.
  • Deep understanding of modern machine learning, training dynamics, and optimization at scale.
  • Experience with distributed systems and large-scale training data pipelines.
  • Ability to work end-to-end from data and modeling through real-world robotic deployment.
  • Strong expertise in robotics, VLA systems, or training LLMs/VLMs from scratch.
  • Strong Python proficiency.

Nice to have

  • Experience with dexterous manipulation or complex robotic tasks.
  • Experience deploying models in real-world production environments.

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