[Remote] Senior Machine Learning Engineer at General Motors

The Senior Machine Learning Engineer will design and build scalable, reliable, and high-performance AI/ML products, collaborating with product managers, data engineers, and data scientists to develop state-of-the-art AI solutions. Specific duties include building and utilizing AI-Agent capabilities, performing multi-modality MLLM model evaluation, fine-tuning, deployment, and bulk inference. Responsibilities also involve evaluating and improving data quality, providing cost estimation and analysis, and supporting data pipeline orchestration on distributed backend systems. The role includes designing, building, and deploying autonomous AI agents, managing their memory, tools, goals, and execution environments, and building interfaces between agents, internal data systems, RAG pipelines, and cloud-based services. Collaborating with internal teams to rapidly prototype and iterate on novel agent capabilities, demonstrating software engineering skills in distributed backend development and batch data processing, experimenting with the latest AI developments, and elevating system design, diagnostics, and operational excellence are key duties. The engineer will also collaborate with cross-functional teams to integrate new features and technologies into the platform.