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Machine Learning Internship, Behaviors Research
Исключительная возможность для исследователей поработать в лидирующей компании индустрии беспилотников. Наличие публикаций и работа с мировыми экспертами делают эту стажировку очень престижной для карьеры в ML.
Сложность вакансии
Высокая сложность обусловлена требованиями к академическому бэкграунду: необходимо обучение в магистратуре или докторантуре и наличие публикаций на конференциях уровня A* (CVPR, NeurIPS и др.). Также требуется готовность к релокации в Сингапур на 5 месяцев.
Анализ зарплаты
Для стажировок в области AI/Robotics в Сингапуре уровень компенсации обычно выше среднего по рынку стажировок и составляет от 3,500 до 6,000 SGD в месяц. Данная позиция соответствует топовому сегменту технологических компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Machine Learning Internship within the Behaviors team at Motional. As a graduate student focused on robotics and motion planning, I have long admired Motional's contributions to the field, particularly the nuScenes dataset and your work on PBP Trajectory Prediction. My background in developing deep learning models for agent simulation and my proficiency in PyTorch align perfectly with the research goals of your Singapore office.
During my academic career, I have focused on creating robust prediction models for complex urban environments. I am particularly excited about the opportunity to work with your large-scale internal datasets and collaborate with the researchers behind PointPillars. I am eager to bring my one-team mindset and technical rigor to Motional to help deliver ML technologies that ensure the highest standards of safety and innovation in autonomous driving.
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Откликнитесь в motional уже сейчас
Присоединяйтесь к команде Motional в Сингапуре и внесите свой вклад в будущее беспилотного транспорта!
Описание вакансии
We are looking for a highly motivated intern to join our Behaviors team and conduct research on Machine Learning for prediction and planning. Here, you will work with the team behind nuScenes, PointPillars, Point Painting, PBP Trajectory Prediction and DriveIRL to deliver ML technologies aligned with the core values of Motional ensuring the highest standards of quality, scientific rigor and innovation.
The internship will take place in our *Singapore office and we expect a full-time internship period of at least 5 months*. We offer flexible working hours and allow for remote work. The candidate will however have to live in Singapore for the duration of the internship.
What you’ll be doing:
- Conduct research on driving behavior related topics, such as future prediction, motion planning, agent simulation, scenario generation
- Work with large-scale internal datasets to demonstrate the effectiveness of your research
- Collaborate with different teams to deploy your research results into the autonomous vehicles
- Publish the research results in papers and patents
What we are looking for:
- Enrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field of study
- Strong Machine Learning research background with publications in any of the top-tier conferences(RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.)
- Proficiency in Python coding and PyTorch or other commonly-used deep learning frameworks
- One-team mindset and effective collaboration with other researchers and engineers
- Strong communication and interpersonal skills
- Previous experience in autonomous driving is preferred
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
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Навыки
- Python
- PyTorch
- Machine Learning
- Deep Learning
- Autonomous Driving
- Motion Planning
- Trajectory Prediction
- Robotics
- Computer Vision
Возможные вопросы на собеседовании
Проверка глубины теоретических знаний в области, указанной в требованиях.
Расскажите о вашей наиболее значимой публикации: какую проблему вы решали и в чем заключалась новизна вашего подхода?
Оценка практических навыков работы с фреймворками глубокого обучения.
Опишите ваш опыт оптимизации моделей PyTorch для работы с большими наборами данных, такими как nuScenes.
Проверка понимания специфики домена автономного вождения.
В чем основные сложности прогнозирования траекторий агентов в условиях плотной городской застройки по сравнению со стандартными задачами регрессии?
Оценка навыков системного мышления и планирования исследований.
Как бы вы подошли к задаче генерации реалистичных сценариев для тестирования системы планирования движений?
Проверка навыков командной работы и коммуникации.
Был ли у вас опыт совместной разработки кода или написания статьи в большой группе? Как вы разрешали технические разногласия?
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