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2 часа назад

Senior / Staff AI Research Scientist, Foundation Models (AI)

200 000 - 360 000$
Формат работы
onsite
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

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TL;DR
Senior / Staff AI Research Scientist, Foundation Models (AI): Developing and deploying vision-language-action models and world models for embodied intelligence in industrial robots with an accent on spatial reasoning, multimodal learning, and long-horizon planning. Focus on training action-conditioned generative models, simulating task outcomes, integrating vision, language, speech, and proprioception, and optimizing production-grade models for robotic platforms.

Location: Milpitas, California, United States; 5 days per week in the office

Salary: $200,000–$360,000 USD per year, plus bonus and equity

Company

hirify.global develops physical AI-powered robots for dull, dirty, and dangerous industrial work, with a focus on real-world deployment and scalability.

What you will do

  • Design and deploy vision-language and vision-language-action models for contextual understanding and generalized robot action policies.
  • Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation.
  • Improve world model fidelity using vision, language, proprioception, and spatial representations.
  • Develop foundation models with spatial reasoning capabilities for high-precision robotic actions.
  • Integrate multimodal data, including vision, language, and speech, for natural human-robot communication.
  • Optimize and deploy production-grade models on robotic platforms.

Requirements

  • PhD in Machine Learning, Robotics, or a related field, or a Master's degree with 4+ years of relevant experience.
  • Proficiency in Python and deep learning frameworks such as PyTorch or JAX.
  • Expertise in large foundation models, including VLMs and VLAs.
  • Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
  • Understanding of multimodal models, transformers, diffusion models, and modern machine learning architectures.
  • Ability to work in the office five days per week.

Nice to have

  • Experience with video generation or prediction models for world modeling or synthetic data generation.
  • Strong publication record at leading machine learning and robotics conferences.
  • Experience with neural network deployment, TensorRT, and GPU programming with CUDA.
  • Ability to design scalable experimentation and data pipelines.

Culture & Benefits

  • Competitive stock options and equity programs.
  • Health, dental, and vision insurance.
  • 401(k) plan.
  • Visa sponsorship and green card support are available for qualified candidates.
  • Provided lunches and dinners, a stocked kitchen, and regular team-building events.

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