Machine Learning Engineer (MLOps), Evaluation

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Not verified last checked Jun 13, 2026

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Machine Learning Engineer (MLOps), Evaluation Cupertino, United States of America We are seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At Apple, we believe in creating technology that enriches lives and empowers creativity. You'll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms. The team is a growing group that works closely with product, ML research, Data Science and infrastructure teams, to ensure the successful delivery of Apple Foundation models and Apple Intelligence evaluations. We are looking for a Machine Learning Engineer focusing on MLOps/LLMOps infrastructure to build a next generation LLM-powered evaluation systems. In this role, you will be instrumental in scaling our internal evaluation platform, building automation and self-service tools, and ensuring the reliability and efficiency of large-scale LLM services. You will have the opportunity to create huge impacts across all AI products through innovations. Explore, design and implement advanced ML Infrastructure framework and tools. Establish standard methodologies for model integration, deployment, and monitoring using CI/CD principles. Ensure LLM services are scalable, efficient, and secure for high-traffic LLM services. Champion model observability, incident response, prompt versioning, and feedback loops. Use your ingenuity and creativity to resolve complicated and/or novel product and engineering challe Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability. Work closely with data scientists, frontend engineers, product

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