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- США
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- 177 000 $ – 221 300 $
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Principal Machine Learning Engineer
Отличная позиция в компании-лидере рынка с четкой социальной миссией. Высокая зарплата, расширенный пакет льгот (RSU, неограниченный отпуск) и работа с уникальными наборами данных делают это предложение крайне привлекательным.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний в физике сенсоров, обработки сигналов и классического ML/DL. Высокий уровень ответственности (Principal) подразумевает не только разработку, но и менторство, а также влияние на стратегию продукта.
Анализ зарплаты
Предложенный диапазон ($177k - $221k) полностью соответствует рыночным стандартам для позиции уровня Principal в Кембридже, штат Массачусетс, который является дорогим технологическим хабом. Верхняя граница диапазона даже несколько превышает медиану для аналогичных ролей в регионе.
Сопроводительное письмо
I am writing to express my strong interest in the Principal Machine Learning Engineer position at Cambridge Mobile Telematics. With over 7 years of experience in data science and a deep background in signal processing and sensor physics, I am particularly drawn to CMT’s mission of using AI-driven insights to improve road safety. My expertise in developing commercial-grade algorithmic solutions and leading engineering teams aligns perfectly with your requirements for spearheading innovative projects like DriveWell Fusion®.
Throughout my career, I have specialized in transforming complex, high-dimensional sensor data into actionable models. I have extensive experience with Python, Spark, and deep learning frameworks such as PyTorch and TensorFlow, which I have used to build scalable AI platforms. I am confident that my ability to mentor junior engineers and communicate complex technical concepts to stakeholders will contribute significantly to CMT’s continued success and innovation in the telematics industry.
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Откликнитесь в cambridgemobiletelematics уже сейчас
Присоединяйтесь к лидеру в сфере телематики и создавайте алгоритмы, которые делают дороги безопаснее во всем мире!
Описание вакансии
Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.
As a Principal Machine Learning Engineer at CMT, you will develop algorithms that represent physical phenomena associated with both vehicle and human movements when measured by cell phone sensors and IoT devices. You will solve challenging real-world problems and assist in the development of innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Using knowledge of statistics, machine learning / deep learning, signal processing, physics, programming and data modeling, the Principal Machine Learning Engineer consults on Data Science projects, and works independently on developing new solutions to achieve CMT’s objectives, and making valuable discoveries which lead to company-wide prototype development and product improvements.
CMT is looking for a collaborative, customer-committed, and creative Principal Machine Learning Engineer who wants to join us in making roads safer by making drivers better!
Responsibilities:
- Use independent judgment and discretion to spearhead the creation of innovative and cutting-edge algorithmic solutions, utilizing unconventional approaches to address complex challenges. These solutions should have a far-reaching impact on the company, and involve the development of new features and products for customers using diverse data sources
- Lead and mentor a team of talented junior machine learning engineers, guiding them through every phase of solution development, from meticulous data pre-processing and advanced modeling, to rigorous testing, seamless roll-out, and continuous performance monitoring in live production environments
- Demonstrate exceptional communication skills to effectively convey and present complex data science concepts to stakeholders across the organization. Foster a collaborative environment by actively engaging with diverse teams and promoting cross-functional cooperation
- Stay at the forefront of research and emerging trends in the field of data science. Evaluate and validate the potential impact of incorporating new ideas into the platform, products, and customer experiences, ensuring continuous enhancement and innovation
- Complete any additional tasks as they arise
Qualifications:
- Bachelor’s degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics or Mathematics
- 7+ years of experience in the Data Science field
- 3+ years of experience developing commercial software with strong algorithmic, AI/machine learning, or signal processing components
- Deep understanding of data science principles, algorithms and practices, such as deep learning / machine learning, statistics and probability, signal processing, and sensor physics
- Must possess a thorough knowledge and practice of software development process in large scale, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn, SQL
- Advanced knowledge of Big Data infrastructure, computation and storage as well as scalable AI/ML platforms & tools, e.g. Spark, Ray, TensorFlow, Keras, Torch, Caffe, etc.
- Strong visualization and data literacy skills, with demonstrated ability to summarize mathematical representations into simple data visualizations and statistical results
- Strong customer-focus and presentation skills with the ability to obtain requirements and influence outcomes
Nice to Haves:
- Master’s or Ph.D. preferred
Compensation and Benefits:
- Fair and competitive salary based on skills and experience, and annual performance bonus
- Equity may be awarded in the form of Restricted Stock Units (RSUs)
- Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
- Unlimited Paid Time Off including vacation, sick days & public holidays
- Flexible scheduling and work from home policy depending on role and responsibilities
Base Salary Range
- The base salary range for this position is: $177,000 to $221,300. This range is specifically for Cambridge, MA
Additional Perks:
- Feel great working to improve road safety around the world!
- Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
- Extensive wellness, education and employee assistance programs
- CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!
Commitment to Diversity and Inclusion:
At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.
We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to joinour growing team.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.
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Навыки
- Python
- Pandas
- NumPy
- Scikit-learn
- SQL
- Spark
- Ray
- TensorFlow
- Keras
- PyTorch
- Caffe
- Signal Processing
- Deep Learning
- Machine Learning
- Statistics
- Physics
- Data Modeling
- Big Data
Возможные вопросы на собеседовании
Позиция Principal требует умения направлять команду и принимать архитектурные решения.
Опишите ваш опыт менторства младших инженеров и то, как вы выстраиваете процессы код-ревью и тестирования в ML-проектах?
CMT работает с данными акселерометров и гироскопов смартфонов.
Какие методы обработки сигналов и фильтрации шумов вы бы применили для классификации маневров водителя на основе данных с мобильных датчиков?
Вакансия требует навыков работы с Big Data инфраструктурой.
Расскажите о вашем опыте масштабирования ML-моделей с использованием Spark или Ray для обработки миллионов событий в реальном времени.
Важно понимать физику процессов, а не только применять алгоритмы.
Как вы интегрируете физические ограничения или знания о динамике транспортного средства в архитектуру нейронных сетей?
Principal-инженер должен уметь объяснять ценность технологий бизнесу.
Приведите пример, когда вам пришлось убеждать стейкхолдеров внедрить инновационный, но рискованный алгоритмический подход. Каков был результат?
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- Страна
- США
- Зарплата
- 177 000 $ – 221 300 $