Principal Machine Learning Engineer, Foundation Models

The role

You will lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics. This role involves developing algorithms for automotive physics and human driving behavior using petabyte-scale data.

What you will do

• Lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics
• Develop and implement novel algorithms for modeling automotive physics and human driving behavior
• Pioneer advanced self-supervised learning techniques for multi-modal telematics sensor data
• Develop models robust to noise, missing data, and diverse operating conditions
• Build and manage scalable training and inference pipelines using tools like Ray, PyTorch DDP, or Horovod
• Integrate AIs into production systems ensuring high performance and reliability
• Optimize AIs for efficient deployment on cloud and edge/mobile devices
• Collaborate with engineering, product, and research teams
• Mentor junior scientists and contribute to AI/ML strategy
• Contribute to efforts in AI explainability and interpretability

Required qualifications

• 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
• Strong, hands-on experience in building and training time-series transformer architectures
• 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)
• Extensive experience with deep learning frameworks such as PyTorch or TensorFlow
• Solid understanding and practical experience with distributed training techniques
• Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms

Nice to have

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

Benefits

• 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 and work from home policy
• Summer Fridays provide team members with half days
• Employee resource groups
• Comprehensive wellness, education, and employee assistance programs

About the company

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer.