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 |
|---|---|---|
| Machine Learning Engineer Machine Learning Engineer at Apple working on Siri, Spotlight, and Safari search features. The role involves large-scale machine learning and deep learning for query understanding and ranking, using techniques like word embeddings, online learning, and NLP. It also includes building infrastructure for processing web-scale data, deploying metrics and evaluations, and presenting results. Experience with RAG is preferred. | ShipAgent | 8 |
| Advanced Manufacturing Engineer(iPhone) - Smart Manufacturing This role focuses on driving manufacturing research and development for iPhone final assembly line automation, integrating AI/ML and LLMs into smart manufacturing processes. The engineer will lead technical automation projects, develop intelligent testing methods, and conduct data/failure analysis to optimize production efficiency and product quality. |
| Ship |
| 7 |
| Advanced Manufacturing Engineer(iPhone) - Smart Manufacturing This role focuses on driving manufacturing research and development for iPhone final assembly line automation, integrating AI/ML and smart manufacturing technologies. The engineer will lead automation projects, leverage AI/ML and LLMs to optimize processes, and develop data-driven methods. Responsibilities include spearheading AI/ML adoption, leading core engineering projects, developing intelligent testing methods, conducting advanced data analysis, and mentoring teams on AI-augmented manufacturing. | Ship | 7 |
| Senior Product Manager The Senior Product Manager will define and deliver AI-powered solutions for live streaming moderation and VOC analytics, owning the product lifecycle and driving execution for AI systems that protect brand integrity and transform customer feedback into actionable business intelligence. This role requires a strong technical understanding of AI, familiarity with APAC social commerce, and the ability to translate business problems into product requirements, working with engineering teams to ship products that balance automation with human oversight. | Ship | 7 |
