Apple is seeking a highly capable and dynamic Machine Learning Engineer to work cross-functionally on building a GenAI system for Beats and Apple Audio products. The ideal candidate will thrive in ambiguity and be exceptionally organized, detail-oriented, and a strong communicator. This role emphasizes experience with large language models and multimodal models, as well as GenAI application building. The position also involves leading and mentoring teams while applying machine learning techniques in various contexts.

• 3+ years of experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models or large multimodal models.
• Master's degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or a related field.
• Proven experience in GenAI application building with agents and agentic workflows.
• Experience with LLM and LMM development and fine-tuning.
• Ability to travel internationally up to 10%.
• Proficiency in using cutting-edge GenAI tools, such as Claude Code and Roo Code.
• Familiarity with distributed computing, cloud infrastructure, and orchestration tools like Kubernetes and Apache Airflow.
• Hands-on experience with LangChain and LlamaIndex for enabling RAG applications and LLM orchestration.
• Ability to present results of analyses clearly to non-technical audiences.
• Proven experience in leading and mentoring teams.

• Work cross-functionally to build a GenAI system for Beats and Apple Audio products.
• Apply machine learning techniques in manufacturing, testing, or hardware optimization.
• Develop and fine-tune large language models and multimodal models.
• Utilize cutting-edge GenAI tools for application development.
• Lead and mentor teams in machine learning projects.
• Present complex ML and LLM concepts in an understandable manner to non-technical stakeholders.

• 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.