Senior AI/ML Scientist

Description

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. This position requires an employee to be onsite 1-3 times per week.

About the Role:

The Senior AI/ML Scientist is responsible for supporting and reinforcing the adoption of Artificial Intelligence & Machine Learning techniques across the Global Purchasing & Supply Chain (GPSC) IT organization with the goal of establishing significant improvements in the predictive capabilities and overall resiliency of GM's Global Supply Chain.

The Senior AI/ML Scientist will drive the identification, evaluation and adoption of rapid iterative and incremental AI/ML software solutions together with Machine Learning Software Engineers and our Supply Chain business partners. The ideal candidate can embrace, execute and apply Transformative ML/DL Technologies, NLP, and Simulation to create and drive the delivery of turn-key solutions.

Specific areas of responsibility include:

Identify opportunities to add predictive analytics to enhance the resiliency of GM's Global Supply Chain solutions and processes together with GPSC SMEs

Track emerging technologies in the industry, and provide technology recommendations, risk assessments, trade studies, and analyses

Utilize expertise in ML methodologies and algorithms to create solutions in real-world environments

Awareness of state-of-the-art solution libraries and ability to adapt them for GM solutions

Ability to digest, design and deploy solutions based on research artifacts

Minimize the technical, operational, and economic barriers relative to adoption of sophisticated ML solutions

Monitor and sustain effectiveness of predictive data science models

Present complex information using data visualization techniques

Designing solutions at scale (minimize operational overhead)

Solve previously impossible tasks or reach unprecedented levels of throughput

Guide team to create/train/validate models for specific problems

Additional Description

Masters or PhD in Computer Science, Electrical Engineering, or related field

7+ years of experience solving analytical problems using machine learning and quantitative approaches

7+ years of Hands-on experience in core analytical tools/suites/languages such as SAS, Python, Java, R, Spark, Scala, Gremlin, and GraphQL

Experience with Graph Neural Networks (GNN)

Strong background in Math & Statistics, ML/DL, NLP, Data Mining, Visualization and Simulation

Experience in one or more advanced analytical methodologies such as numerical optimization, econometric modeling and forecasting, machine learning and text analytics

Proven experience in Cloud Technologies such as Azure, Pivotal Cloud Foundry, Docker, K8, OpenShift and more generically on HPC platforms.

Experience with ModelOps for the creation, governance, and lifecycle management of AI/ML solutions

Strong analytical skills and the ability to think outside the box

Preferred Skill Set / Experience

Knowledge of Supply Chain processes and ability to understand Supply Chain use case complexity

Knowledge in some of the following: C, C++, Java/C#, , Go, SQL, OpenGL, TF, MQTT

Experience with Large Language Models (LLM)

Ability to effectively communicate messages to IT and business partners

Strong analytical skills and the ability to think outside the box

Expertise in data visualization, data storytelling, data acquisition, data manipulation

Collaborative work style with good listening and communication skills, and the ability to work closely and iteratively with business subject matter experts, and other IT teams

Pay Transparency:

The expected base compensation for this role is: $132,300 - 207,000. Actual base compensation within the identified range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

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.

Total Rewards Benefits Overview

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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 [email protected] or call us at 800-865-7580. 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.