Software Developer/ Engineer/ Architect

AI/ML Scientist

This is a Hybrid position within our IT Organization. The role will allow employees to work remotely, but will also require onsite work based on business needs. The selected candidate will be expected to live a commutable distance to the innovation center they are selected for. Relocation will be provided as needed.

For all external applicants, we are targeting a start date on or after January 10th 2022 for this position.

Location: Warren, MI, Austin, TX, and Limerick, Ireland.

About GM

We’re dedicated to achieving our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for people who are passionate about helping us create safer, better and more sustainable solutions for personal mobility. Our 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.

In recent years, GM Information Technology has successfully executed the largest IT transformation in the history of the automotive industry, fully insourcing what once was a nearly completely outsourced IT function.  Today GM IT is a dynamic and fast paced organization that designs, develops and maintains all IT infrastructure, applications and solutions enabling GM’s global operations.  From designing and building the next generation of electric and other vehicles to developing a world-class GM experience for our dealers and customers, GM IT is driving real change in the most iconic automaker on the planet.

Our team delivers unique enterprise-wide IT solutions in cutting-edge technologies such as mobility, telematics, mission-critical business systems, supercomputing, cloud, vehicle engineering and real-time computing.  We offer challenging positions for passionate professionals looking to advance their careers and be a part of an IT organization focused on innovation, speed and business value.

General Motors is seeking to identify highly motivated and qualified individuals for potential future opportunities as AI/ML Scientists. This is a unique opportunity to get in on the ground floor of a new 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. Experience with predictive modeling techniques based on time series analysis with very high dimensional data sets, especially regarding kinematics is highly desired, as well as experience in generating geospatial feature detection models such as land use, land type, or object detection leveraging sensor fusion or imagery classification. Candidates should be familiar with relationships between algorithm runtime performance and hardware and software systems that contribute to latency, demand, and failures in distributed inference and training jobs. Additionally, candidates should be familiar with algorithms and methods to identify latent class features in both labeled and label-free data.

Additional Job Description

The candidate will design and lead iterative development and learning cycles in these areas, and ultimately will produce new and creative solutions that will become part of the operating fabric of the global enterprise. The scope of the landscape may include:

  • Geospatial analysis
  • Mobility and behavioral analysis
  • Risk analysis and forecasting
  • Manufacturing process engineering
  • Population health and trend forecasting
  • Autonomous/Semi-autonomous Driving

Qualifications:

Candidates must be collaborative team players who will work closely with fellow IT professionals (scientists, developers, and product leads.)  The candidate should have 4+ years applied experience across a broad set of potential roles, including:

  • Research Scientist
  • AI Analyst
  • Developer
  • Architect
  • ML Engineer

Desired technical expertise:

  • Geospatial Information System (GIS) experience
  • Experience with commercial datasets
  • Telematics experience     
  • Applying machine learning methodology, with emphasis on applying and integrating machine learning with traditional analytic methods
  • Manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques
  • Modeling data abstractions employing multiple non-linear mathematical and statistical modeling approaches

Development experience in one or more of the following areas:

  • Python proficiency required (Sklearn, numpy)
  • GPU programming, NVidia CUDA
  • PyTorch, Caffe, CNTK, or TensorFlow framework
  • Experience in modern hyperscale ML pipelines including technologies such as Kubernetes, Spark, DASK, Docker, and Argo

Education:

  • Bachelor’s Degree or higher with relevant experience
  • Master’s or PhD preferred in Engineering, Mathematics, Computer Science, Physics, Econometrics, or related quantitative areas