Principal Machine Learning Engineer, Foundation Models

What this role involves

Cambridge Mobile Telematics is seeking a Principal Machine Learning Engineer to lead the development of foundation models for vehicle telematics. The role involves designing, pre-training, fine-tuning, and deploying novel AI models on petabyte-scale sensor data. Responsibilities include pioneering self-supervised learning techniques, building scalable training pipelines, and collaborating with cross-functional teams.

Skills this posting asks for

• python
• pytorch
• tensorflow
• pandas
• numpy
• scikit-learn
• ray
• horovod
• transformer
• self-supervised learning
• foundation models
• generative ai
• time-series
• sensor fusion
• physics-informed modeling
• explainability

Requirements

• 7 years of experience
• Level: principal

From the employer’s posting

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 l…