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2024 PhD Intern - Map Data AI/ML Models

  • Location
    • Austin, Texas
    • Roswell, Georgia
    • Sunnyvale, California
    • Warren, Michigan
  • Schedule Full time
  • Posted


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.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

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Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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