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Principal Machine Learning Engineer

Cambridge Mobile Telematics
FULL_TIME Remote · US Massachusetts, City of Cambridge, US USD 177000–221300 / month Posted: 2026-05-11 Until: 2026-07-10
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Job Description
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 Principal Machine Learning Engineer to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT. 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: Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries Be part of the team inventing the future of mobility and road safety Move fast, own outcomes, do work th