The Product Operations team partners with various engineering and operations teams to lead the development of machine learning solutions. This role involves delivering projects from conceptualization to final deployment, including conducting ad-hoc statistical analyses. The position requires close collaboration with data engineers to create detailed business intelligence solutions. Additionally, the candidate will present analyses to diverse audiences, including executives.

• 3+ years of experience in GenAI applications, machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
• Master's degree in Artificial Intelligence, Machine Learning, 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 is a major plus.
• 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, Apache Airflow, Docker, Conductor, and Ray for LLM training and inference at scale is a plus.
• Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.
• Ability to present results of analyses in a clear and impactful manner to non-technical audiences.
• Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus.
• Proven experience in leading and mentoring teams is a plus.

• Lead the development of machine learning solutions from end-to-end.
• Conduct ad-hoc statistical analyses as needed.
• Collaborate closely with data engineers to generate business intelligence solutions.
• Present analyses to a wide range of audiences, including executives.

• 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.