Cambridge Mobile Telematics

Principal Machine Learning Engineer

Cambridge Mobile Telematics$177K — $221K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or equivalent experience in Data Science, Computer Science, Electrical Engineering, Physics, or Mathematics
  • 7+ years of professional experience in AI/ML
  • 3+ years of hands-on experience developing and deploying deep learning models with a focus on generative AI for complex data
  • Proficient in Python with strong software engineering skills
  • At least 2 years of AWS experience and knowledge of services like EC2, S3, and Lambda
  • At least 2 years of professional experience with programming languages such as Python, C++, or Scala
  • Strong understanding of SQL and ability to write complex queries

Responsibilities

  • Design, build, and operate scalable production Machine Learning systems
  • Transform advanced sequential and multi-modal models into reliable products for risk assessment and event detection
  • Collaborate with research, product, and platform teams to drive measurable business impact
  • Engage with both cloud and edge deployment environments
  • Contribute to the advancement of ML capabilities within the organization
  • Ensure production reliability and performance optimization for ML applications

Benefits

  • Comprehensive medical, dental, vision, and life insurance
  • Matching 401k, short & long-term disability, and parental leave
  • Unlimited Paid Time Off including vacation and sick days
  • Flexible work schedule and remote work options
  • Equity options through Restricted Stock Units (RSUs)
  • Annual performance bonus
  • Unique mission to enhance safety for millions of drivers and influence future mobility solutions
  • Summer Fridays for team members to recharge and relax
  • Access to employee resource groups and wellness programs
Full Job Description
As a Principal Machine Learning Engineer I, you will design, build, and operate production ML systems at scale. You will turn advanced models for sequential and multi-modal data into reliable products that power risk assessment, engagement, and event detection. You will partner with research, product, and platform teams to deliver measurable business impact across cloud and edge.

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

Nice to Haves:
  • 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: Spark or Beam, Airflow, Kafka or Pub/Sub, Docker, and Kubernetes on AWS, GCP, or Azure
  • Publications in strong AI or ML venues

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 that matters
  • High ownership, small teams, and direct access to leadership - no layers between your work and its impact
  • Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
  • Summer Fridays provide team members with half days to recharge
  • Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
  • Comprehensive wellness, education, and employee assistance programs

About Cambridge Mobile Telematics

Cambridge Mobile Telematics (CMT) is a technology company that provides mobile telematics and analytics solutions for insurers, rideshares, and fleets. The company's platform uses sensors and mobile applications to collect data on driving behavior, which is then analyzed to provide insights into risk and safety. CMT's solutions are used by insurance companies to offer usage-based insurance (UBI) policies, by rideshare companies to monitor driver behavior and improve safety, and by fleets to optimize operations and reduce risk. The company was founded in 2010 and is headquartered in Boston, MA.
Learn more about Cambridge Mobile Telematics
Size
201 employees
Industry
Founded
2010

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