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AI/ML Scientist

Description

*For all external applicants, we are targeting a start date on or after July 1st 2022 for this position.


This is a Hybrid position within our IT Organization. The role will allow employees to work offsite but will also require onsite work based on business needs. The selected candidate will be expected to commute to the innovation center to which they are assigned as their primary GM facility.
 

General Motors is seeking to identify highly motivated and qualified individuals for potential future opportunities as AI/ML Scientist or Senior AI/ML Scientists. This is a unique opportunity to get in on the ground floor and help lead a multi-disciplinary 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 AI/ML capabilities in enterprise-wide applications. Candidates will develop solutions to problems across the enterprise using AI/ML and other analytical techniques. In some cases, invention and generation of intellectual property for General Motors will be required. As an AI/ML Scientist or  Senior AI/ML Scientist, the chosen candidate will be expected to provide thought/technical leadership for their team as problems are explored, selected, and worked against. Senior AI/ML Scientists will also be expected to provide guidance and mentorship for junior team members.

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 type, or object detection leveraging areas such as 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. 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 algorithms and methods to identify latent class features in both labeled and label-free data.

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
  • Bayesian learning and causal inference
  • Explainable artificial intelligence
  • Analysis and fusion of crowdsourced data
  • Autonomous/Semi-Autonomous Driving

Qualifications

Candidates must be collaborative team players who will work closely with  professionals across the enterprise, including scientists, developers, analysts, product leads, compute infrastructure engineers, vehicle engineers and fellow IT professionals. 

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
  • ML Engineer


Additional desired technical expertise:

  • Analysis and modeling of telematics data, especially from a physical perspective
  • Experience with commercial datasets
  • Telematics experience
  • 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, sklearnscikit-learn
  • 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

Education:

  • AI/ML Scientist: Master’s degree with 3+ years’ experience or PhD preferred in Mathematics, Physics, Computer Science, Engineering, Econometrics, Statistics, or related quantitative areas.
     
  • Senior AI/ML Scientist: Master’s degree with 7+ years’ experience or PhD with 4+ preferred in Mathematics, Physics, Computer Science, Engineering, Econometrics, Statistics, or related quantitative areas.

Additional Description

FOR GM INTERNAL CANDIDATES: This role is posted at both the 6th and 7th level. The determination by HR and the Hiring Manager as to whether an offer will be lateral or promotional will be based on a candidate’s relevant experience and whether the role will amount to a significant increase in level of responsibility


About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

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.