# Principal Machine Learning Engineer, Foundation Models at Cambridge Mobile Telematics

- Company: Cambridge Mobile Telematics
- What the company does: Cambridge Mobile Telematics is the world’s largest telematics service provider. Our mission is to make the world’s roads and drivers safer. Backed by General Catalyst and SoftBank VF.
- Company website: https://www.cmtelematics.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: Cambridge, MA
- Work setup: On-site
- Pay: $177K to $221K base salary per year (USD)
- Posted: 2025-07-14
- Apply by: 2026-10-08
- Apply: https://www.cmtelematics.com/who-we-are/join-our-team/job-posting/?gh_jid=7068590
- Page: https://www.1752.vc/careers/jobs/cambridge-mobile-telematics-principal-machine-learning-engineer-foundation-model/

## About the role

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Principal Machine Learning Engineer on the DriveWell Atlas team, you will be at the forefront of developing these next-generation AIs. You will lead innovative projects focused on designing, pre-training, fine-tuning, and deploying these AIs.

## What they're looking for

- Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
- 7+ years of professional experience in AI/ML
- 3+ years of hands-on experience developing and deploying foundation models, with a strong portfolio in generative AI for sequential or spatio-temporal data
- Strong, hands-on experience in building and training time-series transformer architectures for complex sensor fusion and behavioral modeling tasks is required
- Deep expertise in designing pretraining tasks for self-supervised learning on noisy, real-world sensor data
- Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn)

Tags: AI & Machine Learning