Currently tracking 171 active AI roles, down 37% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$487k (avg $235k).
Apple has 261 active AI-related job listings. The majority of these roles are focused on agents, accounting for 24% of the total, followed by application (22%) and serving infrastructure (21%). Engineering is the primary function for these positions, with the United States being the dominant hiring country. Frequent tech tags include model serving, inference infrastructure, and LLM observability. Over the last 30 days, Apple has posted 111 new AI roles, representing a 61% increase compared to the previous 30-day period.
Apple currently has 233 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer (4), AIML - Sr Data Scientist, Evaluation (2), Advanced Manufacturing Engineer(iPhone) - Smart Manufacturing (2), Machine Learning Engineer, Apple Services Engineering (2), Machine Learning Software Engineer (2). Most positions are in Engineering and Research.
Apple's active AI hiring is concentrated in: agents (30%), application (21%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Apple is hiring AI talent in: United States (182 roles), China (17 roles), India (10 roles), United Kingdom (7 roles).
Job postings at Apple most frequently mention: Machine Learning, Python, Data Science, Large Language Models (LLMs), Statistics.
In the past 30 days, Apple has posted 80 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Subject Matter Expert - Automation & AI/ML This role focuses on leading the automation of manufacturing processes, specifically PVD coatings, by integrating robotics, PLCs, and machine learning/AI models for defect detection, predictive maintenance, and yield optimization. It requires a blend of physical automation leadership, digital transformation, and domain expertise in PVD processes and failure analysis. | ServeData | 7 |
| Software Engineer AIML Software Engineer to lead the software development of test systems for Apple products, and integrate AI/ML into daily workflows. This role involves designing and developing AI/ML solutions to improve workflows, team efficiency, and product quality, alongside developing and maintaining test libraries and integrating test systems. | Serve |
| 7 |
| AIML - ML Platform Engineer (Apple Ecosystem), Data Intelligence Platform This role focuses on building and shipping the ML platform and tools that enable product teams across Apple to develop and deploy machine learning solutions. The engineer will be responsible for the infrastructure, tools, and developing ML solutions, with a strong emphasis on scalability, reliability, and ease of use. | Serve | 7 |
| Manager, Machine Learning Engineering Manager for a Machine Learning Engineering team focused on manufacturing applications at Apple. The role involves leading a team of ML and MLOps engineers to build, deploy, and scale AI-driven systems for the product lifecycle, from prototype to announcement. Requires technical expertise in AI, leadership skills, and experience with MLOps, Computer Vision, and scaling ML systems. | Serve | 7 |
