Principal Machine Learning Engineer

Company: Cambridge Mobile Telematics
Location: Cambridge
Posted on: April 2, 2026

Job Description:

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 A dditional 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: A t 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 join our growing team. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, m arital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn m ore, visit www.cmtelematics.com and follow us on X @cmtelematics.

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