companyCambridge Mobile Telematics logo

Principal Machine Learning Engineer, Foundation Models

On-site Full-time $177K/yr - $221.3K/yr

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Experience Level

Senior

Qualifications

Responsibilities:Utilize independent judgment to lead the design, pre-training, fine-tuning, and deployment of innovative foundation models for vehicle telematics. Develop and implement sophisticated algorithms that model automotive physics and human driving behavior. Pioneer advanced self-supervised learning techniques, creating innovative tasks to extract rich representations from multi-modal telematics sensor data. Build models that are resilient to noise, missing data, and the diverse operating conditions typical of real-world mobile sensor and IoT datasets. Construct and manage scalable training and inference pipelines using frameworks such as Ray, PyTorch DDP, or Horovod. Integrate AI solutions into production systems while ensuring exceptional performance and reliability.

About the job

Join Cambridge Mobile Telematics (CMT), the largest telematics service provider globally, dedicated to enhancing road safety and improving driver behavior. Our AI-driven platform, DriveWell Fusion®, integrates sensor data from numerous IoT devices, including smartphones, connected vehicles, and dashcams, to provide actionable insights for auto insurers, automakers, and public safety organizations. With headquarters in Cambridge, MA, and offices across the globe, we are committed to making a difference for millions of drivers every day.

As a Principal Machine Learning Engineer on the innovative DriveWell Atlas team, you will lead the charge in developing cutting-edge AI systems leveraging telematics data. You will spearhead projects that involve the design, pre-training, fine-tuning, and deployment of novel foundation models aimed at revolutionizing risk assessment, driver engagement, and claims processing. This role demands a profound understanding of contemporary AI methodologies, machine learning, and sensor data analysis, offering the chance to construct a pioneering large language model from petabyte-scale datasets.

We seek a collaborative and inventive Principal Machine Learning Engineer who is driven by a passion for making roads safer and improving driver capabilities.

About Cambridge Mobile Telematics

Cambridge Mobile Telematics is at the forefront of telematics, leveraging AI and IoT technology to enhance road safety globally. With a mission to improve driver behavior and reduce risks, CMT provides invaluable insights and solutions to a diverse range of clients, including auto insurers and mobility companies. Our teams across the world are dedicated to creating safer driving experiences for everyone.

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