Principal Machine Learning Engineer
$177k - $221.3kCambridge Mobile Telematics
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
Vacancy posted 2 hours ago
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