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Senior Machine Learning Engineer - Perception

Оценка ИИ

Исключительная возможность работать в лидирующей компании в сфере беспилотного транспорта (JV Hyundai и Aptiv). Высокий балл обусловлен сложностью задач, сильной инженерной культурой и потенциалом социального влияния технологий компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью глубоких знаний в области компьютерного зрения, сенсорного слияния и оптимизации под встраиваемые системы. Роль Senior предполагает не только техническую экспертизу, но и наставничество, а также опыт работы с реальными данными беспилотников.

Анализ зарплаты

Медиана110 000 $
Рынок85 000 $ – 145 000 $
Оценка ИИ

Предлагаемая позиция Senior ML Engineer в Сингапуре соответствует верхнему эшелону рынка. Указанный диапазон отражает высокие стандарты для специалистов в области робототехники и AI в данном регионе.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Machine Learning Engineer - Perception position at Motional. With a deep background in developing advanced computer vision algorithms and a passion for Level 4 autonomous driving, I am eager to contribute to your mission of making self-driving vehicles a safe and accessible reality. My experience in designing and deploying robust perception systems, particularly using sensor fusion and real-time optimization, aligns perfectly with the challenges your team is tackling.

In my previous roles, I have successfully productionized deep learning models for object detection and tracking, ensuring high performance on embedded hardware. I am particularly drawn to Motional's 'people first' approach and your track record of industry-leading milestones, such as the first robotaxi pilot. I am confident that my technical expertise in PyTorch and Python, combined with my experience mentoring junior engineers, will allow me to make an immediate and significant impact on your Autonomy team in Singapore.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в motional уже сейчас

Присоединяйтесь к команде Motional и создавайте будущее беспилотного транспорта уже сегодня!

Описание вакансии

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

  • Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
  • Connect and drive business impact through technology solutions
  • Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
  • Optimize perception algorithms for real-time performance on embedded hardware
  • Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
  • Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Derive good insight from large data sets from a variety of sources
  • Mentor and guide junior engineers on the team

What We're Looking For:

  • Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
  • In-depth understanding of common Machine Learning and Deep Learning algorithms
  • Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries and Python bindings development experience
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
  • Excellent communication and interpersonal skills
  • Experience mentoring and leading others

Preferred, but not required:

  • Strong programming skills in C++ and/or CUDA programming
  • Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
  • Experience with launching ML products from ideation
  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • Experience in deploying models into real-world environments

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, LinkedInInstagram 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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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Python
  • PyTorch
  • TensorFlow
  • C++
  • CUDA
  • Sensor Fusion
  • Object Detection
  • Image Segmentation
  • Embedded Systems
  • Robotics

Возможные вопросы на собеседовании

Проверка понимания специфики работы с данными от разных датчиков (Lidar, Radar, Camera).

Расскажите о вашем опыте реализации алгоритмов Sensor Fusion. Какие подходы (early vs late fusion) вы предпочитаете для задач детекции объектов и почему?

Оценка навыков оптимизации моделей для работы в реальном времени на ограниченных ресурсах.

Как вы подходите к оптимизации нейронных сетей для развертывания на встраиваемом оборудовании (embedded hardware) без значительной потери точности?

Проверка умения работать с реальными, зашумленными данными.

С какими основными трудностями вы сталкивались при обучении моделей на больших наборах данных из реального мира и как вы решали проблему несбалансированности классов?

Оценка лидерских качеств и опыта менторства.

Опишите ваш подход к наставничеству младших инженеров. Как вы помогаете им расти технически, соблюдая при этом сроки проекта?

Проверка владения современными архитектурами.

Какие архитектуры трансформеров или графовых нейронных сетей вы считаете наиболее перспективными для задач отслеживания нескольких объектов (MOT) в контексте беспилотного вождения?

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