Director Of Ai, Foundation Models

Cambridge Mobile Telematics

Cambridge, MA, United States
Base: $229,500 to $286,900; bonus/equity: annual p...
On-site
Machine learning model development
Ai ops and mlops practices
Deep learning frameworks expertise
Cambridge Mobile Telematics is the world’s largest telematics service provider focused on making roads and drivers safer using AI-driven platforms

Job Summary

  • Cambridge Mobile Telematics is the world’s largest telematics service provider focused on making roads and drivers safer using AI-driven platforms.
  • The Director will lead the Foundation Models function, balancing near-term customer delivery with long-term R&D while building and mentoring a high-performing team.
  • The company offers competitive salary, annual bonus, equity in RSUs, comprehensive benefits, unlimited paid time off, flexible work policies, and a strong commitment to diversity and inclusion.

Matching Summary

Cambridge Mobile Telematics is the world’s largest telematics service provider focused on making roads and drivers safer using AI-driven platforms.

Salary

Base: $229,500 to $286,900; Bonus/Equity: Annual performance bonus and RSUs; Benefits: Medical, Dental, Vision, Life Insurance, 401k match, disability, parental leave, unlimited PTO

Skills & Requirements

Must-have

  • Machine learning model development
  • AI Ops and MLOps practices
  • Deep learning frameworks expertise
  • Large-scale compute and data infrastructure
  • Team leadership and mentoring
  • Production-grade ML systems at scale

Nice-to-have

  • Experience with telematics and IoT data
  • Foundation models for multiple use cases
  • Responsible AI and model governance
  • Managing compute budgets at scale
  • Supporting enterprise customer SOWs
  • Cross-functional collaboration
  • Inclusive and diverse workplace culture

Key Requirements

  • Bachelor’s degree or equivalent experience
  • 9+ years relevant technical experience
  • 5+ years management experience
  • Strong foundation in ML principles and algorithms
  • Proven coding skills in Python
  • Experience with AI Ops and MLOps
  • Experience with distributed training and GPU workloads

Work Rights

Not specified

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