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 |
|---|---|---|
| AIML - Machine Learning Researcher - MLR Research Scientist role focused on advancing ML technology, particularly in introspection, robustness, and next-generation architectures. The role involves defining research agendas, implementing innovative ML approaches, running large-scale experiments, publishing work, and collaborating with engineering teams to integrate research into products. Requires expertise in ML/DL, transformers/diffusion/SSM, deep learning frameworks, and a strong publication record. | Pretrain | 9 |
| Language Engineer (Arabic), Global Siri Language Engineer for Siri in Arabic, focusing on end-to-end user experiences by applying ML and NLP techniques. Responsibilities include data-driven analysis, designing and implementing innovations for global markets, and developing/training LLMs for internationalization challenges. Requires native Arabic fluency and strong software engineering skills. |
| Post-trainServe |
| 8 |
| Language Engineer (Swedish), Global Siri Language Engineer for Siri in Swedish, focusing on applying ML/NLP and LLMs to improve understanding and speaking of Swedish for Siri products. The role involves end-to-end user experience, data-driven analysis, implementing innovations, and working with LLM prompting and fine-tuning. | Post-trainServe | 7 |
| Language Engineer (Polish), Global Siri Language Engineer for Siri (Polish) responsible for end-to-end user experiences, applying ML and NLP techniques to deliver products, with a focus on developing, training, and fine-tuning LLMs for internationalization challenges in a large-scale consumer product. | Post-trainServe | 7 |
