- Страна
- Германия
- Зарплата
- 200 000 $ – 230 000 $
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Applied Research Engineer, Motion Planning
Исключительная вакансия в дочерней компании Google (Alphabet) с очень высокой зарплатой, возможностью работы над передовыми технологиями и доступом к ресурсам Google DeepMind. Идеально для топовых исследователей в области робототехники.
Сложность вакансии
Высокая сложность обусловлена требованиями к научной степени (PhD предпочтительно), наличием публикаций в рецензируемых изданиях и глубокими знаниями на стыке C++, Jax и физических симуляций. Роль требует сочетания академических исследований и прикладной инженерной разработки.
Анализ зарплаты
Предлагаемый диапазон $200k-$230k является очень конкурентоспособным и находится на уровне верхнего дециля для позиций Applied Research Engineer в США и значительно выше средних рыночных показателей для Германии. Это соответствует стандартам BigTech компаний для высококвалифицированных специалистов.
Сопроводительное письмо
I am writing to express my strong interest in the Applied Research Engineer position at Intrinsic. With a solid background in robotics and machine learning, I am particularly drawn to Intrinsic’s mission of making industrial robotics more intelligent and accessible through foundation models and advanced motion planning. My experience in implementing state-of-the-art algorithms in C++ and Python, combined with a deep understanding of physical simulations like MuJoCo and IsaacSim, aligns perfectly with the technical requirements of your R&D team.
In my previous research, I have focused on bridging the gap between classical motion planning and data-driven approaches, resulting in peer-reviewed publications that demonstrate my ability to distill complex research into functional solutions. I am excited by the prospect of collaborating with Google DeepMind and industrial partners to bring high-reliability prototypes to real-world applications. I am confident that my expertise in Jax and deep learning for robotics will allow me to contribute immediately to your innovative projects in Mountain View and Munich.
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Откликнитесь в intrinsicrobotics уже сейчас
Присоединяйтесь к команде Intrinsic и создавайте будущее промышленной робототехники на стыке ИИ и физического мира!
Описание вакансии
Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
As a researcher in robotics/AI, you will have the opportunity to join our R&D team working on novel robotics capabilities that have impact in real world applications. You will work alongside a team of researchers and engineers developing novel machine learning, reinforcement learning, and foundation models for AI-enabled robotics capabilities in the areas of robot manipulation, robot perception, and robot motion planning. With the broader engineering team and industrial partners, your work will bring promising prototypes to real world, practical, applications. Our team works closely with researchers at Google DeepMind Robotics, Universities, and other research labs to bring solutions to the real world. You should be excited to work with new technologies as you discover creative solutions to new meaningful problems applying AI in robotics.
How your work moves the mission forward
- Develop new motion planning approaches for single and multi-robot planning, starting from existing prototypes.
- Exploit advances in machine learning (e.g,. graph nets, deep-learning, transformer models, etc.) for developing novel data-driven motion planning systems.
- Implement state of the art algorithms and libraries in Python, C++, and Jax.
- Bring problems from industrial partners to functional new solutions with very high reliability and performance.
- Distill recent robotics/ML research publications for target problems and implement promising solutions.
Skills you will need to be successful
- Masters in Computer Science, Robotics or equivalent with practical experience in robotics and machine learning.
- Be knowledgeable and comfortable in working with physical simulations (e.g., Gazebo, Bullet, MuJoCo, IsaacSim, etc.) to implement motion planning/machine learning algorithms.
- At least 2 years of experience in one or more of: motion planning for robotics, classical robot motion planning (e.g., RRTs, PRMs), machine learning/deep learning.
- Solid Experience programming in C++, Python, and ideally Jax.
- Must have research experience in a related field and at least one high-quality publication in a peer-reviewed academic journal/conference.
Skills that will differentiate your candidacy
- PhD in Robotics, Computer Science or a similar technical field.
- Experience with the design and implementation of large, complex machine learning algorithms with large amounts of data and highly parallelized algorithms.
- 4 years of applied experience in machine learning for robotics motion planning.
In addition to the salary range below, this full-time position is eligible for bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.
Salary Range
$200,000—$230,000 USD
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
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Навыки
- C++
- Python
- JAX
- Machine Learning
- Deep Learning
- Motion Planning
- Reinforcement Learning
- Gazebo
- MuJoCo
- IsaacSim
- Bullet
- Robotics
- Simulation
Возможные вопросы на собеседовании
Проверка фундаментальных знаний в области планирования траекторий.
В чем заключаются основные преимущества и недостатки использования нейросетевых подходов к планированию движений по сравнению с классическими алгоритмами вроде RRT* или PRM?
Оценка опыта работы с инструментами, указанными в вакансии.
Опишите ваш опыт работы с Jax для задач робототехники. Какие преимущества дает использование этой библиотеки при обучении моделей с подкреплением (RL)?
Проверка навыков работы с симуляторами и переноса знаний в реальность (Sim-to-Real).
С какими основными трудностями вы сталкивались при переносе алгоритмов планирования из симуляции (например, IsaacSim или MuJoCo) на реального робота и как вы их решали?
Оценка способности работать с современными архитектурами ИИ.
Как можно эффективно использовать трансформеры или графовые нейронные сети для обработки пространственных данных в задачах многороботного планирования?
Проверка исследовательского потенциала и умения работать с литературой.
Расскажите о вашей наиболее значимой публикации. Какую конкретную проблему в области робототехники она решала и как результаты могут быть применены в промышленном масштабе?
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- Страна
- Германия
- Зарплата
- 200 000 $ – 230 000 $