Эта стажировка в Waymo предлагает хорошую почасовую оплату и возможность работать над передовыми технологиями автономного вождения, что делает её отличной возможностью для студентов PhD в области машинного обучения.
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Передовые технологии
?Гибридный формат работы
Продуктовая компания
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Текст:
Hirify AI/Оригинал
TL;DR
2027 Summer Intern, PhD, Vehicle Intent and Prediction (Machine Learning/Autonomous Driving): Training and evaluating Loss of Control models, deriving data-quality signals from learned models, and developing pipelines for synthetic training-data annotation with an accent on statistics, neural networks, and autonomous-driving prediction. Focus on designing effectiveness measures, evaluating model-quality impact, and processing robotics data with Python and machine-learning frameworks.
Location: Mountain View, California, United States; hybrid onsite internship position
Salary: $85 per hour for the full-time position
Company
Waymo develops autonomous driving technology and the Waymo Driver for fully autonomous ride-hail services and other vehicle platforms.
What you will do
Train and evaluate Loss of Control models to measure the quality impact of changes.
Use existing learned models to derive signals about data quality.
Design and implement measures of effectiveness for these signals.
Develop or enhance data pipelines for annotating synthetic training data.
Collaborate on software engineering challenges involving autonomous driving, prediction, and machine learning.
Requirements
Currently enrolled in a PhD program.
Experience with machine-learning coding in Python, such as JAX or PyTorch.
Strong knowledge of foundational statistics and mathematics.
Familiarity with neural networks.
Ability to work in a hybrid onsite position in Mountain View, California.
Nice to have
Familiarity with C++, especially for data-processing pipelines.
Prior experience with robotics or prediction problems.
Culture & Benefits
Projects are conducted with leaders in autonomous driving and are intended to create company impact.
Interns apply their knowledge while expanding their technical skill set.
Interns are part of the recruiting pipeline.
Benefits programs are available subject to eligibility requirements.
Applications are accepted on a rolling basis until the role is filled.
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