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. CMT is looking for a Principal Machine Learning Engineer I to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT. Qualifications: <ul> <li>Master's degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics, or Mathematics</li> <li>7+ years of professional experience in AI/ML</li> <li>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</li> <li>Strong software engineering skills in Python</li> <li>Must have at least two years of AWS experience and demonstrated knowledge of common AWS services such as EC2, S3, Lambda, Athena, Redshift, etc</li> <li>Must have at least 2 years of professional experience with computer languages such as Python, C++, Scala, etc</li> <li>Strong knowledge of SQL concepts, ability to comprehend and write complex SQL statements</li> <li>Excellent problem solving, communication, and cross-functional collaboration</li> </ul> Nice to Haves: <ul> <li>Ph.D. in a relevant field.</li> <li>Hands-on experience with time-series or multi-modal architectures for sensor fusion and behavioral modeling</li> <li>Background in self-supervised learning on real-world sensor data and physics-informed modeling</li> <li>Experience building large-scale data processing and orchestration: Spark or Beam, Airflow, Kafka or Pub/Sub, Docker, and Kubernetes on AWS, GCP, or Azure</li> <li>Publications in strong AI or ML venues</li> </ul> Compensation and Benefits: <ul> <li> Fair and competitive salary based on skills and experience, and annual performance bonus </li> <li>Equity may be awarded in the form of Restricted Stock Units (RSUs) </li> <li> Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave </li> <li> Unlimited Paid Time Off including vacation, sick days & public holidays </li> <li> Flexible scheduling and work from home policy depending on role and responsibilities</li> </ul> Base Salary Range <ul> <li>The base salary range for this position is: $177,000 to $221,300. This range is specifically for Cambridge, MA</li> </ul> Additional Perks: <ul> <li> Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world </li> <li> Join an industry leader — 65 million d

Principal Machine Learning Engineer

Job Description