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 |
|---|---|---|
| Latin America (ALAC) AIML Data Quality & Governance Scientist This role focuses on building and evolving enterprise knowledge graphs to serve as a foundation for AI agents and analytical tools for sales teams. It involves capturing business knowledge, designing graph schemas, implementing data quality and governance policies, and integrating unstructured data. The role also includes designing retrieval architectures and evaluation pipelines for AI agent consumption of this knowledge. | AgentData | 7 |
| Latin America AIML Data Scientist (Decision Intelligence) This role focuses on developing and deploying ML models and AI agents for sales decision intelligence. It involves building insight pipelines, designing forecasting and anomaly detection models, integrating insights into GenAI tools and agents, and implementing LLM evaluation pipelines. The role requires strong Python, ML, SQL, and LLM skills, with an emphasis on translating business problems into technical solutions and collaborating with various teams. |
| AgentPost-train |
| 7 |