Senior Ai/ml Engineer

General Motors Australia & New Zealand

Warren, MI, USA
Hybrid (expected to report to warren, mi or austin, tx three times per week)
Machine learning and statistical models
Predictive models and algorithms
Cloud infrastructure and high-performance compute
General Motors Australia & New Zealand is seeking a Senior AI/ML Engineer to develop and deploy machine learning models for enhancing map content related to ADAS and hands-free driving technology. The ideal candidate will have extensive experience in machine learning frameworks, statistical modeling, and leading technical projects, with a strong emphasis on collaboration and innovation

Job Summary

  • The role involves designing, building, and deploying predictive models and machine-learning algorithms to enhance map data for ADAS/hands-free driving technology.
  • Key responsibilities include creating and enhancing map data using cloud infrastructure, analyzing large datasets, and presenting complex information through data visualization.
  • The position requires technical leadership, providing guidance to team members, and collaborating with cross-functional teams to design end-to-end solutions.

Matching Summary

Match Score: 85

General Motors Australia & New Zealand is seeking a Senior AI/ML Engineer to develop and deploy machine learning models for enhancing map content related to ADAS and hands-free driving technology. The ideal candidate will have extensive experience in machine learning frameworks, statistical modeling, and leading technical projects, with a strong emphasis on collaboration and innovation.

Skills & Requirements

Must-have

  • Machine learning and statistical models
  • Predictive models and algorithms
  • Cloud infrastructure and high-performance compute
  • Analyze large datasets
  • Python, PySpark, Spark, PyTorch, TensorFlow

Nice-to-have

  • Geospatial analysis and mapping
  • Autonomous vehicle and ADAS technologies
  • AI-assisted coding tools

Key Requirements

  • Master’s Degree in quantitative field
  • 6+ years proficiency in core analytical tools
  • 4+ years engineering/technical experience
  • Experience leading projects and/or teams

Work Rights

Not specified

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