Senior Machine Learning Engineer, Foundation Models

Cambridge Mobile TelematicsChennai, India

On-site Full-time

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Experience Level

Senior

Qualifications

Key Responsibilities:Contribute to the design, training, and implementation of groundbreaking AI models tailored for telematics applications. Develop algorithms that accurately represent the physical phenomena associated with vehicle and human movement. Investigate and apply advanced self-supervised learning techniques suited for multi-modal telematics sensor data. Refine upstream pretrained models or utilize their embeddings to tackle downstream telematics challenges such as crash detection, driver risk assessment, and claims management. Create models resilient to noise, incomplete data, and varied real-world conditions. Collaborate with engineering and product teams to integrate AI models into production environments. Establish scalable training and inference pipelines using frameworks like Ray, PyTorch DDP, or Horovod. Optimize models for seamless deployment across cloud and edge/mobile platforms. Stay abreast of the latest developments in AI/ML research, adapting cutting-edge techniques to real-world telematics issues. Document and present findings to contribute to CMT’s growing AI/ML knowledge base. Mentor junior team members through code reviews and collaborative projects.

About the job

At Cambridge Mobile Telematics (CMT), the world's leading telematics service provider, our mission is to enhance safety on the roads for drivers everywhere. Through our innovative AI-driven platform, DriveWell® Fusion, we aggregate sensor data from millions of IoT devices, ranging from smartphones and proprietary Tags to connected vehicles and dashcams. This data is seamlessly integrated with contextual information to create a comprehensive understanding of vehicle and driver behavior. Our insights empower auto insurers, automakers, commercial mobility companies, and public sector organizations to enhance risk assessment, improve safety measures, streamline claims processes, and enhance driver engagement programs. With headquarters in Cambridge, MA, and additional offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, we are dedicated to protecting tens of millions of drivers globally each day.

We are embarking on an exciting journey with DriveWell Atlas, a transformative initiative aimed at developing a suite of cutting-edge AI models based on telematics data. As a Senior Machine Learning Engineer focusing on Foundation Models within the DriveWell Atlas team, you will play a pivotal role in designing and deploying next-generation AI models that elevate CMT's capabilities in risk assessment, driver engagement, crash detection, and claims processing. This position offers a unique opportunity to work at the forefront of advanced AI research and its practical applications in the telematics sector.

We seek a collaborative, customer-focused, and innovative Senior Machine Learning Engineer, Foundation Models who is passionate about making roads safer and drivers better!

About Cambridge Mobile Telematics

Cambridge Mobile Telematics is the world's foremost telematics service provider, committed to improving safety on the roads through advanced technology and data-driven insights. Our innovative AI solutions are transforming the way auto insurers, manufacturers, and mobility companies assess risk and enhance driver safety.

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