Стажировка в Waymo предлагает хорошую почасовую оплату и возможность работать над передовыми технологиями ИИ, но роль ограничена студентами PhD, что сужает круг кандидатов.
Низкая зарплата
Продуктовая компания
?Гибридная стажировка
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
2027 Summer Intern, PhD, Machine Learning, Computer Vision (AI): Analyzing and improving multimodal perception foundation models for autonomous driving with an accent on deep learning, computer vision, and large-scale sensor data. Focus on training and evaluating neural networks, validating performance in simulation, deriving data-quality signals, and building data pipelines.
Location: Mountain View, California, United States; hybrid onsite internship
Salary: $85 per hour
Company
Waymo develops autonomous driving technology and the Waymo Driver for fully autonomous ride-hail services and other vehicle platforms.
What you will do
Analyze and characterize internal feature representations of deep multimodal perception foundation models.
Validate model performance on large-scale autonomous vehicle sensor datasets and simulation environments.
Train, fine-tune, and evaluate deep neural networks to improve model performance.
Inspect perception foundation models to derive signals about data quality.
Implement or augment data pipelines to improve data quality.
Requirements
Currently enrolled in a PhD program in computer science, robotics, electrical engineering, or a related quantitative field.
Programming experience in Python.
Practical experience training, fine-tuning, and evaluating deep learning models for computer vision or multimodal perception using PyTorch, JAX, or TensorFlow.
Strong understanding of modern neural architectures, including Vision Transformers and multimodal sensor encoders.
Ability to work in a hybrid onsite position in Mountain View, California.
Nice to have
Research experience or publications in multimodal deep learning or vision foundation models.
Hands-on experience with multi-camera or 3D LiDAR perception systems in robotics or autonomous driving.
Experience evaluating large-scale perception systems in practical settings.
Culture & Benefits
Work with industry leaders on projects that create impact for autonomous driving technology.
Opportunities to apply existing knowledge and expand technical skills.
Interns may participate in company benefits programs, subject to eligibility requirements.
Applications are reviewed on a rolling basis until the role is filled.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →