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General Motors · 2 weeks ago

Senior Software Engineer, Data Science

Mountain View, CA

Full-time

Hybrid

Senior Level

$134K/yr - $226K/yr

5+ years exp

General Motors is at the forefront of transforming transportation through software-driven innovation. They are looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that enhance vehicle quality and customer satisfaction through advanced analytics and machine learning applications.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation

No H1B

Responsibilities

Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs

Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs

Apply statistical methods, anomaly detection, and clustering to uncover patterns

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

Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets

Create interactive data visualizations to communicate and interpret complex data

Design and build supervised and unsupervised ML models

Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services)

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

Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms

Mentor junior level employees, providing coaching and guidance on difficult issues

Qualification

Machine LearningPythonMLOpsData VisualizationStatistical MethodsSignal ProcessingCloud PlatformsCollaborationProblem SolvingMentoring

Required

Bachelor's in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience

5+ years of experience building and deploying advanced machine learning or deep learning systems in production

Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh)

Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks)

Experience with MLOps tools and deploying models via containerized microservices on cloud platforms

Data Visualization using PowerBI, Databricks Apps, Azure Apps

Exceptional analytical and independent problem-solving capabilities

Strong listening and communication skills and ability to collaborate cross-functionally

Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues