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Cambridge Mobile Telematics

Auto insurance telematics and fleet management

Principal Machine Learning Engineer 1

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • A master's degree in Data Science, Computer Science, Electrical Engineering, Physics, or Mathematics, or equivalent years of experience and/or certification.
  • At least 7 years of professional experience in artificial intelligence and machine learning.
  • At least 3 years of hands-on experience developing and deploying deep learning models, with a strong portfolio in generative artificial intelligence for sequential or spatio-temporal data.
  • Strong software engineering skills in Python.
  • At least 2 years of AWS experience and demonstrated knowledge of common AWS services such as EC2, S3, Lambda, Athena, and Redshift.
  • At least 2 years of professional experience with computer languages such as Python, C++, or Scala.
  • Strong knowledge of SQL concepts and ability to comprehend and write complex SQL statements.
  • Excellent problem solving, communication, and cross-functional collaboration.

Responsibilities

  • Design, build, and operate production machine learning systems at scale.
  • Turn advanced models for sequential and multi-modal data into reliable products that power risk assessment, engagement, and event detection.
  • Partner with research, product, and platform teams to deliver measurable business impact across cloud and edge.

Desired Qualifications

  • Ph.D. in a relevant field.
  • Hands-on experience with time-series or multi-modal architectures for sensor fusion and behavioral modeling.
  • Background in self-supervised learning on real-world sensor data and physics-informed modeling.
  • Experience building large-scale data processing and orchestration using Spark or Beam, Airflow, Kafka or Pub/Sub, Docker, and Kubernetes on AWS, GCP, or Azure.
  • Publications in strong artificial intelligence or machine learning venues.

About the Company

Cambridge Mobile Telematics

Auto insurance telematics and fleet management

Cambridge Mobile Telematics builds a telematics platform that uses mobile sensors to monitor driving behavior. It collects data on speed, braking, and phone use to generate safety insights and risk assessments for insurers and fleets. Insurers can offer usage-based insurance where premiums reflect actual driving, while fleet operators use the platform to improve driver safety and reduce costs. By partnering with insurers and fleets, CMT aims to lower accident rates and claims through better data and feedback.

Company size
201-500
Company stage
Late Stage VC
Total funding
$855M
Headquarters
Cambridge, MA
Founded
2010

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