AI/ML Engineer - Model Inference

General Motors is advancing autonomous vehicle technology through systems that help teams discover, understand, and curate high-value data from large-scale real-world sensor streams. The AI/ML Engineer will build and productionize data processing, featurization, and inference foundations for scalable world understanding, while improving model evaluation, system performance, reliability, and cost efficiency.

Responsibilities:

• Design, build, and productionize data processing and featurization pipelines for large-scale multimodal data
• Improve inference frameworks for computer vision and multimodal models, with a focus on reliability, extensibility, and operational simplicity
• Drive scalability and cost efficiency across the end-to-end pipeline, including compute utilization, throughput, storage, and query performance
• Work closely with partners across machine learning, infrastructure, and evaluation to deliver systems that support both rapid experimentation and production use
• Develop and refine evaluation methods for model quality, retrieval quality, and system-level performance
• Help shape technical direction through strong execution, thoughtful tradeoff analysis, and clear engineering judgment
• Take ownership of ambiguous problem spaces, define practical paths forward, and move quickly from prototype to production
• Operate with urgency and a strong bias toward execution velocity while maintaining a high bar for engineering quality