- Страна
- США
- Зарплата
- 200 000 $ – 275 000 $
Откликайтесь
на вакансии с ИИ

Principal Engineer, Data & ML Infrastructure
Исключительная позиция в лидирующей компании сектора автономного вождения с конкурентной зарплатой и возможностью влиять на технологии будущего. Высокий уровень компенсации дополняется отличным пакетом льгот и работой над социально значимым продуктом.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний в ML-инфраструктуре, опыта работы с высоконагруженными распределенными системами и доказанных лидерских качеств для управления командой экспертов. Высокая ответственность за безопасность автономного вождения значительно повышает планку требований.
Анализ зарплаты
Предлагаемый диапазон $200k–$275k полностью соответствует рыночным стандартам для позиции Principal Engineer в США, особенно в таких высокотехнологичных хабах, как Бостон и Питтсбург. Верхняя граница диапазона является очень привлекательной даже для Tier-1 компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Principal Engineer position for the Data & ML Infrastructure team at Motional. With extensive experience in leading engineering teams and building large-scale cloud orchestration frameworks, I am excited by the opportunity to drive the Ground Truth Regression framework. My background in Python and AWS Kubernetes orchestration aligns perfectly with your mission to validate perception models for autonomous vehicles at scale.
Throughout my career, I have focused on bridging the gap between complex data engineering and machine learning requirements. I have a proven track record of managing diverse teams to deliver high-quality datasets and rigorous statistical analysis. I am particularly drawn to Motional’s commitment to safety and innovation in the robo-taxi space, and I am confident that my technical leadership can help scale your evaluation frameworks to meet the challenges of long-tail driving scenarios.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в motional уже сейчас
Присоединяйтесь к Motional, чтобы возглавить разработку критически важной инфраструктуры для беспилотных автомобилей будущего!
Описание вакансии
Mission:
We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.
What You'll Do:
- Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
- Drive innovation by researching and developing new large scale data warehousing and analysis.
- Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
- Build high-quality datasets to improve ML products through training & edge case validation.
- Provide statistical depth on model performance & generalization through rigorous error and change analysis.
- Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
- Manage project timelines, resources, and deliverables to ensure successful project execution.
What We're Looking For:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Excellent leadership, communication, and problem-solving skills.
- Proven record leading a small diverse dedicated team supporting a large user base.
- Experience in machine learning, data mining, and statistical analysis.
- Proven experience in developing and deploying large scale cloud frameworks.
- Strong programming skills in Python.
- Experience with large-scale data processing and distributed computing technologies.
Bonus Points:
- Ph.D. in Computer Science or a related field.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with machine learning in the autonomous driving domain.
- Publications or contributions to the AI/ML community.
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
$200,000—$275,000 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, 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.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- AWS
- Kubernetes
- Machine Learning
- Data Engineering
- Distributed Computing
- Data Mining
- Statistical Analysis
- Cloud Computing
Возможные вопросы на собеседовании
Кандидат должен понимать специфику работы с данными для беспилотников.
Как бы вы спроектировали систему для автоматического поиска и извлечения 'edge cases' (редких сценариев) из тысяч часов видеоданных?
Проверка лидерских качеств в технически сложной среде.
Опишите случай, когда вам пришлось принимать архитектурное решение, с которым была не согласна часть команды. Как вы аргументировали свою позицию?
Оценка опыта работы с масштабируемыми системами.
С какими основными узкими местами вы сталкивались при масштабировании Kubernetes-кластеров для задач ReSimulation и как их решали?
Проверка понимания метрик качества ML.
Как обеспечить статистическую достоверность при сравнении двух версий модели восприятия, если изменения затрагивают только редкие объекты?
Оценка навыков управления проектами.
Как вы балансируете между внедрением инновационных исследовательских подходов и необходимостью стабильной ежедневной валидации моделей?
Похожие вакансии
Principal Engineer, Compute Platform
Principal Technology Strategist, Lab Systems
Lead Solutions Engineer
Service Excellence HVAC/R Lead Technician (Greenville, SC)
Principal Operations Architect | Healthcare Operations
Capability Lead, Air Defense
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 200 000 $ – 275 000 $