About this opportunity
Cambridge Mobile Telematics lists this Principal Machine Learning Engineer opportunity in cambridge, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Build production machine learning systems that power risk assessment, engagement, and event detection across cloud and edge.
Design, build, and operate production ML systems at scale
Convert advanced models for sequential and multi-modal data into reliable products
Enable risk assessment, engagement, and event detection through ML-driven capabilities
Partner with research, product, and platform teams to deliver measurable business impact
Collaborate to deploy solutions across cloud and edge environments
Requirements
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 hands-on experience developing and deploying deep learning models
Strong portfolio in generative AI for sequential or spatio-temporal data
Strong software engineering skills in Python
2+ years AWS experience with demonstrated knowledge of common AWS services, including EC2 , S3 , Lambda , Athena , Redshift , etc.
2+ years experience using computer languages such as Python , C++ , Scala , etc.
Strong knowledge of SQL , including ability to comprehend and write complex SQL statements
Excellent problem solving, communication, and cross-functional collaboration
Technologies
Python
C++
Scala
AWS
EC2
S3
Lambda
Athena
Redshift
SQL
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, including Spark or Beam , Airflow , Kafka or Pub/Sub , Docker , and Kubernetes on AWS, GCP, or Azure
Publications in strong AI or ML venues
Compensation & Benefits
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
Parental leave
Unlimited Paid Time Off including vacation, sick days & public holidays
Flexible scheduling
Work from home policy depending on role and responsibilities
Fair and competitive salary based on skills and experience, with a base range of $177,000 to $221,300 for Cambridge, MA
Additional Perks
Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
Industry leader: 65 million drivers protected, powering 140+ programs across 25 countries
Recognized innovator in mobility AI, including TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good
Great Place to Work Certified
High ownership, small teams, and direct access to leadership
Summer Fridays with half days to recharge
Join employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
Comprehensive wellness, education, and employee assistance programs
Diversity & Inclusion
Equal-opportunity employer committed to a workplace and culture where everyone feels valued, respected, and empowered
No discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability state
About Cambridge Mobile Telematics
World's largest telematics and AI company for safer mobility
Mission: make the world's roads and drivers safer
AI-driven platform DriveWell Fusion® helps proactively identify and reduce driving risk
Technology has helped prevent over 126,000 crashes worldwide
Helps partners measure risk, detect crashes, provide life-saving assistance, and streamline claims
Headquartered in Cambridge, MA with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia
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Worksite address
cambridge, MA, 02140, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.