AIML Scientist

Job Description

• Translate complex engineering needs into actionable AI/ML solutions balancing innovation with stability and traceability.

• Use data analytics and signal processing to analyze simulation output data

• Develop custom feature extraction methods for predictive modeling - used in optimizations.

• Apply statistical methods ML Big data analytics anomaly detection methods and clustering to uncover patterns

• Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights

• Work collaboratively with a team of specialists ranging from data scientists simulation experts and calibration technical specialists to cohesively build new capabilities into our existing Co-Simulation (Digital Twin) framework.

• Lead and/or support the development and maintenance of cloud and/or on-prem databases.

• Define strategies for large-scale data ingestion embedding generation retrieval tuning and prompt optimization in production environments.

• Establish and champion engineering best practices coding standards and documentation norms for AI/ML systems across teams.

Your Skills and Abilities (Required Qualifications):

• Bachelors degree in Computer Science Engineering or Mathematics

• Experience developing and deploying machine learning or deep learning systems in production environments or experience working in LLM development NLP or AIdriven automation.

• Proficiency in modern programming languages such as Python and C/C (JavaScript optional depending on your stack) with strong foundations in objectoriented design and software architecture.

• 2 years of experience developing and deploying machine learning or deep learning systems in production environmentsor2 years working in LLM development NLP orAIdrivenautomation.

• Solid understanding of data science bigdata workflows and applied statistics; familiarity with signalprocessing techniques is a plus.

• Strong experience in major ML frameworks and toolchains (e.g. PyTorch TensorFlow HuggingFace Transformers Scikit-learn XGBoost)

• Demonstrated experience with transformer architectures LLMs AI agents or models integrated with simulation workflows.

• Experience with retrieval-augmented generation (RAG) prompt engineering and embedding optimization.

• Excellent problem-solving skills with the ability to thrive in a demanding fast-paced work environment.

• Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

What Can Give You a Competitive Edge (Preferred Qualifications):

• Masters or PhD in Computer Science Engineering Mathematics

• Experience in automotive or physical system simulation domains.

• Familiarity with co-simulation frameworks physical modeling tools (e.g. Simulink AMESIM) or automotive calibration workflows.

• Knowledge of optimization techniques (e.g. PSO GA MDO) applied to AI-simulation or engineering workflows.

• Experience with MLOps practices including containerized deployment (Docker Kubernetes) CI/CD pipelines and cloudnative model serving.

• Experience building scalable ML systems or fullstack AI pipelines using modern frameworks (e.g. FastAPI Ray cloud services).

• Willingness to learn and continue developing knowledge in an up-and-coming field.

• Visionary thinking: You identify and pursue novel AI/ML applications in engineering workflows.

• Strategic ownership: You drive initiatives from concept to integration influencing cross-org direction.

• Cross-domain fluency: You connect simulation embedded systems and data science to deliver tangible values

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 believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

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