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.
Currently tracking 171 active AI roles, down 37% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$487k (avg $235k).
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 |
|---|---|---|
| Enterprise Marketing Manager, India This role is for an Enterprise Marketing Manager at Apple in India, focusing on defining and executing marketing strategies for businesses and institutions. The manager will work with IT leaders to showcase the value of Apple products, develop narratives, launch programs, and influence cross-functional teams to accelerate adoption. The role also supports education initiatives and involves interpreting market research and data analytics to inform strategies. | — | 0 |
| Project Manager, AIML Data Ops – Actuals Process Project Manager for AIML Data Operations focusing on the actuals process, invoicing, budget management, and reporting for human-annotated assets development. This role involves collaborating with vendors and internal teams, improving processes, developing roadmaps for invoicing tools, and ensuring financial governance and compliance within a mature AI/ML data operations context. | — | 0 |
