AI Machine Learning Principal Engineer

Honda

United States
Competitive base salary; regional bonus when appli...
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Graph convolutional neural networks (gcnns)
Python programming proficiency
Aws or azure cloud deployment
** Honda is seeking an AI Machine Learning Principal Engineer to lead the design and development of advanced AI solutions for automotive R&D initiatives. The ideal candidate will possess extensive experience in AI and machine learning, particularly in production environments, and be proficient in relevant programming languages and frameworks. **

Job Summary

  • The role involves leading the end-to-end design and deployment of production-grade AI solutions for Honda's automotive R&D initiatives.
  • Candidates will architect scalable cloud-based systems using Graph Neural Networks to augment or replace physics-based CAE simulations.
  • Honda offers a comprehensive benefits package including a no-cost manager lease car program, 401K match, and education reimbursement.

Matching Summary

Match Score: 75

** Honda is seeking an AI Machine Learning Principal Engineer to lead the design and development of advanced AI solutions for automotive R&D initiatives. The ideal candidate will possess extensive experience in AI and machine learning, particularly in production environments, and be proficient in relevant programming languages and frameworks. **

Salary

Competitive Base Salary; Regional Bonus when applicable; 401K Plan with company match

Skills & Requirements

Must-have

  • Graph Convolutional Neural Networks (GCNNs)
  • Python programming proficiency
  • AWS or Azure cloud deployment
  • MLOps and GenAIOps implementation
  • Full AI lifecycle ownership
  • 8+ years ML/AI system experience

Nice-to-have

  • C++ or Java automotive context skills
  • CAE physics-informed ML knowledge
  • Prior automotive design engineering background
  • LangGraph / LangChain & Strands SDK
  • Mentoring mid-level and junior engineers

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • 8+ years developing and deploying ML/AI systems
  • 3+ years in production environments
  • Deep expertise in PyTorch, TensorFlow, or scikit-learn
  • Experience with model governance and responsible AI frameworks

Work Rights

Not specified

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