Saltar al contenido principal

2024 PhD Intern - Map Data AI/ML Models

  • Ubicación
    • Austin, Texas
    • Roswell, Georgia
    • Sunnyvale, California
    • Warren, Michigan
  • Cronograma Full time
  • Publicado


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.

Como contratamos

Este es un ejemplo de un contenido de trabajo común que se puede mostrar en la parte inferior de cada descripción de trabajo. Se agrega en el CMS y luego se muestra en cada trabajo. Se puede utilizar para complementar el contenido del trabajo que proviene del ATS.

Egestas faucibus lacus a ac aptent ac condimentum risus iaculis a parturent a enim suscipit semper hendrerit feugiat suspendisse lobortis facilisis vel at dolor ornare rutrum a elementum mi. Rhoncus mollis curae penatibus scelerisque suspendisse faucibus phasellus porttitor maecenas amet a amet hac facilisi a urna a vestibulum vestibulum maecenas per adipiscing ultrices.

Buscamos a los innovadores

Quienes somos

Two GM employees talking in hallway

Our Culture

Working at GM

Driven by innovation and creating an environment to inspire, we embrace the responsibility to make our world better, safer and more equitable for all

A mother and two children spend quality time together in their backyard after work

Total Rewards

A better tomorrow begins with you

From day one, we’re looking out for your well-being— at work and at home— so you can focus on realizing your ambitions

Únete a la comunidad de talentos

Conozca las próximas oportunidades profesionales y eventos en Pendulum

Únete ahora
A scene of people in an office

Únete a la comunidad de talentos

Somos ambiciosos. Estamos comprometidos. Y traemos la pasión de la vida al trabajo. Comuníquese con nosotros para obtener más información sobre cómo comenzar su carrera en GM.

Buscar Oportunidades de Carrera Únete a nuestra Comunidad de Talento
Join Talent Community
2023 WME 4X White Linkedin Award Diversityinc Award Just Award Bloomberg Award Readers Choice Awards