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Job DescriptionThis role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week at minimum or other frequency dictated by the business if more than 3 days. The RoleMillions o
Job DescriptionThis role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week at minimum or other frequency dictated by the business if more than 3 days. The RoleMillions o
Job DescriptionWork Arrangment:Hybrid:This role is categorized as hybrid. The selected candidate is expected to report to Warren MI or Sunnyvale CA at least three days per week (TuesdayThursday).Our Mission:At General Motors our product teams are redefining mobility. Through a human-c
Job DescriptionWork Arrangment:Hybrid:This role is categorized as hybrid. The selected candidate is expected to report to Warren MI or Sunnyvale CA at least three days per week (TuesdayThursday).Our Mission:At General Motors our product teams are redefining mobility. Through a human-c
Job DescriptionWork ArrangementThis role is categorized as on-site. The successful candidate is expected to report to the Advanced Technical Center full time.The Role -Develop and deliver completed digital models of proposed vehicles and/or vehicle components. This role requires a hig
Job DescriptionWork ArrangementThis role is categorized as on-site. The successful candidate is expected to report to the Advanced Technical Center full time.The Role -Develop and deliver completed digital models of proposed vehicles and/or vehicle components. This role requires a hig
Job DescriptionHelp teach our selfdriving vehicles how to see and understand the world!The Data Labeling Engineering team designs builds and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors AV o
Job DescriptionHelp teach our selfdriving vehicles how to see and understand the world!The Data Labeling Engineering team designs builds and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors AV o
