Principal Machine Learning Engineer

Design and deliver production-grade machine learning systems that translate models for sequential and multi-modal data into reliable products for real-world risk and event detection.

Responsibilities

• Design, build, and operate production ML systems at scale
• Convert advanced models for sequential and multi-modal data into dependable products for risk assessment, engagement, and event detection
• Collaborate with research, product, and platform teams to deliver measurable business impact across cloud and edge

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, with a strong portfolio in generative AI for sequential or spatio-temporal data
• Strong software engineering skills in Python
• At least 2 years of AWS experience; demonstrated knowledge of common AWS services such as EC2, S3, Lambda, Athena, Redshift, etc.
• 2+ years 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

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

Compensation

• Base salary range: $177,000 to $221,300 per year (Cambridge, MA)
• Annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)

Benefits

• 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

Additional Perks

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Industry scale: 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 provide team members with half days to recharge
• Employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Diversity and Inclusion

• Equal-opportunity employer committed to a 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®, which proactively identifies and reduces driving risk
• Technology has helped prevent over 126,000 crashes worldwide
• Enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims
• Headquartered in Cambridge, MA; offices in Budapest (Hungary), Chennai (India), Seattle (Washington), Tokyo (Japan), and Zagreb (Croatia)

Location: Cambridge, MA (onsite)

Minimum Experience: 3 years