About GM There’s never been a more exciting time to work for General Motors.
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future. Why Work for Us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities. About the role:
This is a unique opportunity to get in on the ground floor and help lead a multi-disciplined team of experienced individuals who will be driving the solution design, development, and deployment of advanced statistical and mathematical solutions using machine learning techniques as well as traditional methods.
The team will generate new algorithmic and software models enabling enterprise tools for automated and autonomous driving systems development.
Candidates must be collaborative team players who will work closely with fellow IT professionals (scientists, developers, and product leads.) The candidate should have 7+ years’ experience across a broad set of potential roles, including but not limited to:
*International relocation assistance is not provided. 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. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. |