AIML - Machine Learning Engineer (MLOps), Evaluation

Job Description

Seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications at Apple.

Requirements

• 4+ years in software engineering with experience in large-scale software system design and implementation.
• Proven track record of shipping production-grade ML/LLM systems.
• Strong understanding of LLMs, fine-tuning, prompt engineering, vector databases, and RAG patterns.
• Experience with distributed systems, databases (SQL/NoSQL), cloud platforms (AWS, Azure, GCP), and container orchestration (Kubernetes).
• Ability to tackle complex challenges, think critically, and deliver innovative solutions.
• Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Responsibilities

• Explore, design and implement advanced ML Infrastructure framework and tools.
• Establish standard methodologies for model integration, deployment, and monitoring using CI/CD principles.
• Ensure LLM services are scalable, efficient, and secure for high-traffic LLM services.
• Champion model observability, incident response, prompt versioning, and feedback loops.
• Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability.
• Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions.

Benefits

• 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.