We are seeking a Senior or Staff-level Applied ML Engineer to join our AI/ML Evaluation organization. This hands-on role focuses on bridging machine learning, software engineering, and product development to enhance the measurability and trustworthiness of AI systems. The ideal candidate will design and build intelligent systems, develop tools for structured insights, and create robust evaluation datasets. This position is perfect for someone passionate about improving AI performance through collaboration and innovative solutions.

• 8+ years of experience in software engineering, ML engineering, or applied ML roles
• Proficiency in Python or another modern programming language such as Java, Go, or Swift
• Experience building and maintaining production-grade systems
• Solid understanding of machine learning concepts, especially large language models and their applications
• Excellent communication and collaboration skills with cross-functional partners
• Experience working on AI evaluation systems, LLM-based simulations, or agentic AI frameworks
• Background in building tools for data analysis, model evaluation, or synthetic data generation
• Familiarity with metrics instrumentation and observability in ML systems
• Experience designing pipelines for AI/ML workflows
• Exposure to applied research, generative models, or real-time systems
• Understanding of how model quality connects to product outcomes and user experience

• Design and build intelligent systems that simulate complex interactions powered by large language models.
• Develop tools for extracting structured insights from AI systems.
• Create robust evaluation datasets to support AI performance assessment.
• Contribute to building scalable platforms for simulation and behavior analysis.
• Collaborate across disciplines to bring clarity and rigor to AI evaluation.
• Build robust, scalable systems that support the evaluation and development of advanced AI capabilities.

• 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.