Cambridge Mobile Telematics · 2 days ago
Principal Data Scientist, AI
Massachusetts, United States
Full-time
Onsite
Senior Level, Lead/Staff
$177K/yr - $221K/yr
7+ years expCambridge Mobile Telematics (CMT) is the world's largest telematics service provider. As a Principal Data Scientist on the DriveWell Atlas team, you will lead innovative projects focused on developing next-generation AIs using telematics data to enhance risk assessment, driver engagement, and crash processing capabilities.
MobilePublic SafetyTransportation
Responsibilities
Use independent judgment and discretion to lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics
Develop and implement novel algorithms for modeling both automotive physics and human driving behavior
Pioneer advanced self-supervised learning techniques, including the design and implementation of innovative tasks tailored to multi-modal telematics sensor data to learn rich representations of movement and driver behavior
Develop models robust to noise, missing data, and diverse operating conditions typical of real-world mobile sensor and IoT datasets
Build and manage scalable training and inference pipelines using tools like Ray, PyTorch DDP, Horovod, or similar frameworks
Integrate these AIs into production systems while ensuring high performance and reliability
Optimize these AIs for efficient deployment on various platforms, including cloud and edge/mobile devices
Collaborate closely with engineering, product, and research teams to translate cutting-edge research into impactful products and features for the DriveWell Atlas platform
Mentor junior scientists and contribute to the broader AI/ML strategy at CMT
Stay abreast of the latest AI advancements, evaluating and adopting emerging technologies and methodologies relevant to telematics
Contribute to efforts in AI explainability and interpretability
Complete any tasks as they arise
Qualification
Required
Bachelor's degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
7+ years of professional experience in AI/ML
3+ years of hands-on experience developing and deploying foundation models, with a strong portfolio in generative AI for sequential or spatio-temporal data
Strong, hands-on experience in building and training time-series transformer architectures for complex sensor fusion and behavioral modeling tasks is required
Deep expertise in designing pretraining tasks for self-supervised learning on noisy, real-world sensor data
Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn)
Extensive experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow for large-scale model training and deployment
Solid understanding and practical experience with distributed training techniques and efficient training methodologies for large models
Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms (e.g., AWS, GCP, Azure)
Excellent problem-solving skills and the ability to translate complex business problems into tractable AI-based solutions
Strong verbal/written communication and collaboration skills, with the ability to effectively convey complex technical concepts to diverse audiences
Product-focused thinking with a proven ability to deliver impactful AI solutions
Preferred
PhD or Master's degree preferred
Experience with MLOps practices and tools for managing the lifecycle of machine learning models
Publications in top-tier AI/ML conferences or journals
Familiarity with techniques for model interpretability and explainability (XAI)
Awareness of ethical AI principles, bias detection, and mitigation strategies in machine learning models, including experience with or understanding of model guardrails
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
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
Company
Cambridge Mobile Telematics
Cambridge Mobile Telematics develops DriveWell, a complete telematics and behavioral analytics solution to improve safety.
201-500 employees
H1B Sponsorship
Cambridge Mobile Telematics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (13)
2023 (12)
2022 (23)
2021 (13)
2020 (8)
Funding
Current Stage
Growth StageTotal Funding
$502.5MKey Investors
SoftBank Vision Fund
2018-12-19Private Equity· $500M
2014-09-03Series Unknown· $2.5M
Leadership Team
Bill Powers
Founder and Chief Executive Officer
Hari Balakrishnan
Founder; Chairman & CTO
Recent News
2025-11-18
Company data provided by crunchbase