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Cambridge Mobile Telematics

Principal Machine Learning Engineer, Foundation Models

Cambridge Mobile Telematics · Cambridge, MA

Posted about 2 months ago · $177,000 to $221,300

or apply directly on Cambridge Mobile Telematics's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Cambridge Mobile Telematics's roles stay open a median of 66 days
Reposted
No
Salary listed
Yes
78% of Cambridge Mobile Telematics's roles list one
Ghost-job risk at Cambridge Mobile Telematics
high
17 stale, 1 reposted of 18 open
Hiring momentum
21 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Cambridge Mobile Telematics's own greenhouse board since 2026-08-03. Full hiring picture for Cambridge Mobile Telematics.

About this role

As a Principal Machine Learning Engineer on the DriveWell Atlas team, you will lead the development of innovative AI models using telematics data. Your responsibilities will include designing, pre-training, fine-tuning, and deploying foundation models, as well as developing algorithms for automotive physics and human driving behavior. You will also work on self-supervised learning techniques and collaborate with various teams to integrate AI into production systems.

Our read on this posting4.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cambridge Mobile Telematics as an employer.

What you need

  • Bachelor’s degree or equivalent experience in AI, 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
  • Strong experience in building and training time-series transformer architectures
  • Deep expertise in designing pretraining tasks for self-supervised learning on noisy sensor data
  • Proficiency in Python and common data science libraries

Nice to have

  • PhD or Master's degree preferred
  • Experience with MLOps practices
  • Publications in top-tier AI/ML conferences or journals
  • Familiarity with techniques for model interpretability and explainability
  • Awareness of ethical AI principles and bias detection strategies

What you get

  • Fair and competitive salary based on skills and experience
  • Annual performance bonus
  • Equity may be awarded in the form of RSUs
  • Medical, Dental, Vision and Life Insurance
  • Matching 401k
  • Unlimited Paid Time Off

Worth weighing

  • No specific mention of the company culture beyond commitment to diversity and inclusion
  • High expectations for independent judgment and discretion may indicate a demanding work environment

Summarised from Cambridge Mobile Telematics's posting. Read the full original.

Listed by Cambridge Mobile Telematics on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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