Join Apple Services Engineering as a machine learning platform engineer to build high-availability services and internal tools for AI evaluation systems. You will work closely with researchers to operationalize their innovations and create developer-first platforms. The role focuses on architecting and implementing APIs, SDKs, and platform services to simplify complex evaluation metrics. Ideal candidates thrive in ambiguous environments and are passionate about scalable infrastructure.

• 2+ years of hands-on software engineering experience or a Master's degree with relevant project experience.
• Strong proficiency in the Python ecosystem, including FastAPI, Pydantic, and Pandas.
• Experience acting as a technical partner to internal customers and translating vague requirements into engineering specifications.
• Demonstrated experience partnering with Data Scientists or Researchers to operationalize scientific code.
• Functional literacy in AI/ML concepts and understanding of the machine learning lifecycle.
• Strong expertise in API design and building internal tools with a focus on developer experience.
• Operational excellence background with practical experience in CI/CD pipelines, containerization, and monitoring.
• Experience building MLOps and platform infrastructure for AI.
• Deep familiarity with AI evaluation frameworks and modern evaluation tools.
• Deep understanding of Generative AI and the engineering challenges associated with LLMs and Agents.
• Experience thriving in startup-like environments and navigating high ambiguity.

• Architect and build high-availability services and internal tools for AI evaluation.
• Develop the developer experience by implementing APIs, SDKs, and platform services.
• Collaborate with researchers to operationalize sophisticated measurement techniques.
• Drive engineering standards for code quality, automation, and testing rigor.
• Ensure scalable infrastructure for Generative AI and Agentic systems.
• Contribute to architectural discussions and write production-grade code.
• Translate vague requirements from other teams into concrete engineering specifications.
• Build APIs that focus on versioning, backward compatibility, and developer experience.
• Utilize CI/CD pipelines, containerization, and monitoring tools for operational excellence.
• Architect foundational infrastructure for AI, including model registries and inference services.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.