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motional
Страна
США
Зарплата
212 000 $ – 283 000 $
+500% приглашений

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LeadУдалённоПолная занятость

Principal Engineer Team Lead, Prediction & ML Planner

Оценка ИИ

Высокая оценка обусловлена престижностью компании (JV Hyundai и Aptiv), конкурентной заработной платой и возможностью работать над передовыми технологиями автономного вождения. Позиция предлагает значительное влияние на продукт и отличный социальный пакет.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сочетания глубоких экспертных знаний в области ML/Robotics и подтвержденного опыта управления командами. Высокая сложность обусловлена необходимостью работы с технологиями уровня L4 и интеграцией сложных моделей в реальные системы.

Анализ зарплаты

Медиана245 000 $
Рынок200 000 $ – 290 000 $
Оценка ИИ

Предлагаемый диапазон $212k – $283k полностью соответствует рыночным стандартам для позиций уровня Principal/Lead в сфере Autonomous Driving в США. Верхняя граница диапазона даже несколько превышает медиану для Бостона и Питтсбурга, что делает предложение очень привлекательным.

Сопроводительное письмо

I am writing to express my strong interest in the Principal Engineer Team Lead position for the Prediction & ML Planner team at Motional. With extensive experience in leading engineering teams and a deep technical background in machine learning for autonomous systems, I am excited about the opportunity to contribute to Motional's mission of making Level 4 autonomous driving a reality. My expertise in PyTorch and Python, combined with a proven track record of deploying ML solutions in complex traffic scenarios, aligns perfectly with the goals of your Behaviors team.

Throughout my career, I have successfully led large-scale technical initiatives, focusing on the intersection of motion planning and generative AI. I am particularly drawn to Motional's collaborative culture and its commitment to safety and innovation. I am confident that my leadership skills and technical proficiency in developing robust behavior models will help drive the team toward achieving its ambitious commercialization goals.

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Откликнитесь в motional уже сейчас

Присоединяйтесь к лидерам индустрии автономного вождения и создавайте будущее транспорта вместе с Motional!

Описание вакансии

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users.

We are looking for proven leaders and technical experts 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:

  • Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
  • Lead, manage and grow a team of engineers
  • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
  • Communicate strategies, progress and challenges to executive leadership

What We’re Looking for:

  • Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
  • Proven leadership skills at executing large, complex technical initiatives
  • Extensive experience managing and leading engineers
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries
  • Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
  • Excellent communication and interpersonal skills

Bonus Points:

  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
  • Experience with state of the art generative AI, and/or reinforcement learning, paradigms
  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • Strong programming skills in C++ and/or CUDA programming

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range

$212,000—$283,000 USD

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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Навыки

  • Python
  • PyTorch
  • TensorFlow
  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Generative AI
  • C++
  • CUDA
  • Motion Planning
  • Autonomous Vehicles
  • Robotics
  • Software Design

Возможные вопросы на собеседовании

Проверка опыта в ключевой области ответственности команды.

Как вы подходите к проектированию моделей предсказания поведения агентов в условиях неопределенности городских сценариев?

Оценка лидерских качеств и умения управлять талантами.

Опишите ваш опыт масштабирования инженерной команды: как вы нанимаете, развиваете и удерживаете высококлассных ML-специалистов?

Проверка технической экспертизы в современных методах.

Каким образом вы бы использовали Generative AI или Reinforcement Learning для улучшения планирования траектории беспилотного автомобиля?

Оценка навыков кросс-функционального взаимодействия.

Как вы выстраиваете процесс интеграции ML-моделей с командами восприятия (Perception) и симуляции для обеспечения безопасности на дорогах?

Проверка опыта доведения продукта до релиза.

Расскажите о самом сложном случае из вашей практики при деплое ML-решений на реальный флот автомобилей. Как вы решали возникшие проблемы?

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США
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212 000 $ – 283 000 $