Principal Machine Learning Engineer

Cambridge Mobile Telematics; Cambridge (MA); Hybrid; USD 177,000 - 221,000; Full time

Benefits offered by this job

Annual bonus

Restricted Stock Units (RSUs)

Medical insurance

401(k) matching

Disability insurance

Parental leave

Unlimited PTO

Flexible scheduling

Work from home policy

Job summary

Cambridge Mobile Telematics is seeking an experienced ML engineer to build production-grade ML systems that power risk assessment, engagement, and event detection across cloud and edge environments.

You will design, build, and operate scalable ML systems, converting advanced models for sequential and multi-modal data into reliable products, while partnering with research, product, and platform teams to deliver measurable business impact.

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 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 EC2, S3, Lambda, Athena, Redshift, etc.
• 2+ years experience using Python, C++, Scala, etc.
• Strong knowledge of SQL, including complex SQL statements
• Excellent problem solving, communication, and cross-functional collaboration

Responsibilities

• 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

Skills

AI/ML experience

Python

C++

Scala

SQL

Problem solving

Cross-functional collaboration

Generative AI

AWS

EC2

S3

Lambda

Athena

Redshift

Education

Master's degree or equivalent in Data Science/CS/EE/Physics/Math

Tools

AWS

EC2

S3

Lambda

Athena

Redshift

Python

C++

Scala

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