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2 часа назад

Human Interactive Driving Research Intern, World Models (AI)

45 - 65$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
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
Human Interactive Driving Research Intern, World Models (AI): Developing and evaluating world models for autonomous driving with an accent on representation learning, action conditioning, multi-agent interaction, and real-world and simulated data. Focus on designing learning-based driving systems, testing prototypes in closed-loop simulation, integrating large-scale datasets, and contributing to top-tier research publications.

Location: Los Altos, California, United States; hybrid, in-office role

Salary: $45–$65 per hour for California-based roles.

Company

hirify.global develops AI, robotics, autonomous driving, and material science technologies to improve the quality of human life.

What you will do

  • Conduct original research in world modeling, multi-agent interaction, reinforcement learning, perception, or sim-to-real transfer.
  • Collaborate with researchers to design, train, and evaluate learning-based driving systems.
  • Develop and evaluate prototypes in closed-loop simulation and, if time permits, on autonomous driving hardware.
  • Integrate large-scale open-source and internal datasets.
  • Present findings internally and work toward top-tier academic publications.

Requirements

  • Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
  • Strong machine learning background, including deep learning, generative models, reinforcement learning, or probabilistic modeling.
  • Hands-on experience with world models, model-based reinforcement learning, 3D reconstruction or sensor fusion, and large-scale simulation for robotics or autonomous systems.
  • Proficient coding skills and expertise in modern deep learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Prior publications in top-tier AI/ML conferences.

Nice to have

  • Experience with probabilistic and generative modeling, autonomous driving datasets, open-source foundation models, or Amazon Web Services such as S3, EC2, and SageMaker.

Culture & Benefits

  • Paid 12-week internship with close collaboration across a multidisciplinary research team.
  • Research is conducted using real-world and simulated data, scalable infrastructure, and open-source data.
  • Medical, dental, and vision insurance.
  • Paid time off, including holiday pay and sick time.

Hiring process

  • Include links to relevant open-source contributions or technical project write-ups with the application.

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