As a Machine Learning Engineer specializing in Recommendations & Personalization at Apple Services Engineering, you will play a crucial role in developing innovative recommendation systems and machine learning infrastructure. The team focuses on creating personalized user experiences through advanced technologies, including Large Language Models and generative AI. You will work closely with researchers and engineers to design, optimize, and deploy end-to-end recommendation flows. This hands-on role requires a blend of robust system design and cutting-edge research to enhance user engagement across Apple's flagship services.

• BS, MS or PhD in Computer Science, Machine Learning, or a related technical field.
• 4+ years of hands-on experience developing and deploying production-grade ML systems for personalization, ranking, or recommendation.
• Strong software engineering skills in Go, Rust, Java, Python, or similar languages.
• Extensive experience with distributed data and ML systems such as Ray or Spark.
• Deep understanding of recommendation model architectures and inference optimization techniques.
• Demonstrated experience designing, implementing, and analyzing A/B tests or advanced online evaluation frameworks.
• Strong theoretical understanding and hands-on experience in agent development, LLM fine-tuning, or post-training optimization.
• Familiarity with modular LLM tooling frameworks such as LangGraph or LangChain.
• Experience deploying and managing ML workloads on Kubernetes or other containerized environments.

• Design, optimize, and deploy end-to-end recommendation flows.
• Prototype and build next-generation LLM-powered and agentic recommendation concepts.
• Collaborate with applied researchers, infrastructure engineers, and data scientists.
• Ensure system reliability, observability, and ultra-low latency in large-scale ML environments.
• Implement advanced vector retrieval techniques for recommendation pipelines.
• Manage real-time inference and cost-performance optimization for ML 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.