[Skip To Content]

2024 PhD Intern - Map Data AI/ML Models

  • Localização
    • Austin, Texas
    • Roswell, Georgia
    • Sunnyvale, California
    • Warren, Michigan
  • Agendar Full time
  • Postou


Work Arrangement

Hybrid: Position does not require an employee to be on-site full-time, but the general expectation is that the employee be on-site an average of three (3) days each week.

Our team is looking for a 2024 PhD Intern – Map Data AI/ML Models to support the development of machine learning and statistical models and algorithms to support creating map content for our ADAS/hands-free driving technology, including Super Cruise. It is expected that the person supports a diverse team of scientists and engineers in their area of expertise. This will include leveraging state-of-the practice tools and techniques to produce innovative solutions to complex problems.

What You’ll Do

  • Build predictive models and machine-learning algorithms to extract features and classify outcomes
  • Analyze large datasets to discover trends and patterns
  • Present complex information using data visualization techniques

[Additional Description]

Required Qualifications ​​

  • Bachelor’s and Master’s degrees in Engineering, Computer Science, Physics, Mathematics, Robotics or related quantitative field
  • Enrolled in PhD program in Engineering, Computer Science, Physics, Mathematics, Robotics or related field
  • Minimum of 3 years of experience with one or more core analytical tools/suites/libraries such as, Python and related IDEs, Spark, PySpark, PyTorch, TensorFlow, and understand their limitations
  • Demonstrable proficiency in statistical modeling and machine learning

What Will Give You A Competitive Edge (Preferred Qualifications)

  • Experience leveraging cloud computing tools and services
  • Proficiency in geospatial analysis and mapping, mobility and behavioral analysis, and/or image processing
  • Experience building and implementing active learning and/or reinforcement learning frameworks
  • Experience with autonomous vehicle systems and/or ADAS technologies and related vehicle data processing and analytics

GM will provide a one-time lump sum taxable stipend payment to each student selected for the 2024 Student Program.

The salary range for this role is $8,000-$9,400 per month, dependent upon experience.

Benefit options are not available for this role.