Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стажировка в сильном исследовательском институте даёт практический опыт работы с передовыми моделями для автономного вождения, симуляциями и научными публикациями; главное ограничение - короткий срок и требование PhD.
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Только для PhDПередовые технологииНаучный вкладСильная исследовательская среда
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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