24 days old

JR-000037640 Senior AI/ML Scientist

General Motors
Limerick, Limerick
  • Job Code
  • Job Type
  • Job Status
    Full Time
  • Shift
    1st Shift

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 should have deep familiarity with predictive modeling techniques based off time series analysis with very high dimensional data sets, especially regarding kinematics. 
  • Candidates should be familiar with techniques from scientific computing such as function interpolation, numerical linear algebra, and Monte Carlo methods.  
  • Additionally, candidates should be familiar with methods to identify latent class features in both labeled and label-free data, such as Indian buffet processes and topological data analysis.
  • 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. 

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 
  • Bayesian learning and causal inference
  • Explainable artificial intelligence
  • Analysis and fusion of crowdsourced data



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:

  • Research Scientist
  • AI Analyst
  • Developer
  • Architect

Additional desired technical expertise:

  • Analysis and modeling of telematics data, especially from a physical perspective
  • 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
  • Applying machine learning methodology, with emphasis on applying and integrating machine learning with traditional analytic methods

Development experience in one or more of the following areas:

  • Python proficiency required
  • CPU frameworks for machine learning in python – numpy, pandas, sklearn
  • GPU frameworks for machine learning in python – Rapids, Pyro
  • Deep learning frameworks in python - PyTorch, Caffe, TensorFlow
  • Modern hyperscale ML technologies and pipelines - Kubernetes, Spark, DASK, Docker, Argo, MLFlow, NVIDIA Triton


  • Master’s degree with 10+ years’ experience or PhD with 7+ preferred in Mathematics, Physics, Computer Science, Econometrics, Statistics, an engineering field, or related areas.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:

  • Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
  • Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
  • Company and matching contributions to 401K savings plan to help you save for retirement;
  • Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; 
  • Tuition assistance and student loan refinancing;
  • Discount on GM vehicles for you, your family and friends.

Diversity Information

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. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

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 (EEO) 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.


Posted: 2021-05-24 Expires: 2021-06-23

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JR-000037640 Senior AI/ML Scientist

General Motors
Limerick, Limerick

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