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AI/ML Scientist - INF0019262

  • Warren (Tech Ctr), Michigan, US
  • Austin, Texas, US
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Position summary


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 artificial intelligence/machine learning solutions supporting the company’s autonomous vehicle program and other applications.
The team will contribute to autonomous vehicle technology strategy; technology componentry and integration across environmental, vehicular and human systems; and development and implementation of project-based solutions.  Initial applications may include areas such as high density mapping, geofencing, visual, auditory and speech processing, autonomous and biologically-activated control systems, and others.
 
The AI Scientist will provide insight into artificial intelligence techniques focused on deep learning and AI methods, will design and lead iterative development and learning cycles in these areas, and ultimately will produce new and creative AI solutions that will become part of the operating fabric of the global enterprise. The scope of the AI landscape may include:
  • Neural networks, specifically interest and emphasis on Deep Neural 
  • Computer vision
  • Agent-based modeling
  • Hybrid-systems modeling and shared autonomy
  • Human-computer interaction, including brain-machine interfaces
 
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 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 Careers.Accommodations@GM.com. 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
 
Candidates must be collaborative team players who will work closely with fellow AI professionals (scientists and engineers.)  The AI Scientist should have 4+ years applied experience across a broad set of potential roles, including:
 
  • AI Research Scientist
  • AI Analyst
  • Developer
  • Architect
 
Additional desired technical expertise:
  • Familiarity with neural nets and deep learning topologies such as      convolutional nets, recurrent nets, RBMs, auto encoders, etc.
  • Exposure to research in neural nets such as memory augmentation, reinforcement learning and representational learning is beneficial.
  • Image recognition, speech recognition and NLP.
  • Applying machine learning methodology, with emphasis on applying and integrating AI, graph analytic and deep learning preferred
  • 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:
  • GPU programming, NVidia CUDA
  • Theano, Caffe, CNTK, or TensorFlow frameworks
  • R, Wolfram, Scala or similar machine learning languages/packages and or analytical tools
  • AI programming in Java, C++, Python, Prolog or LISP
 
Education:
Bachelor’s Degree or higher with relevant experience. Master’s or PhD preferred in Mathematics, Computer Science or related quantitative areas.
 

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