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 |
|---|---|---|
| Commercial Data Scientist, ANZSA This role focuses on designing and implementing AI-powered analytical solutions for channel sales growth in the ANZSA region. It involves architecting and deploying transformative AI solutions, including ML optimization, LLMs, and agentic systems, leveraging techniques like RLHF and GNNs. The role requires close collaboration with business and engineering teams, productionizing models, and ensuring robust validation and data pipelines. | AgentPost-train | 7 |
| Financial Data Analyst This role focuses on applying Generative AI and machine learning techniques to financial planning and analysis (FP&A) within the APAC region. The analyst will own core FP&A responsibilities, build intelligent data products to transform financial workflows, and leverage LLMs/GenAI frameworks for finance use cases. The role requires strong data fluency, experience with modern data science tools, and the ability to work with incomplete data to generate insights. |
| Agent |
| 7 |
| Engineering Program Manager, Data Solutions & Initiatives Apple is seeking a highly technical, execution-focused Engineering Program Manager to drive the delivery of large-scale, strategic business programs within their Worldwide Sales organization's Data Solutions & Initiatives (DSI) team. The role requires a strong technical background to understand architectures, data flows, and development lifecycles, and involves facilitating design discussions, evaluating trade-offs, and working with delivery teams. The EPM will own program planning, coordination, and execution from concept through launch, partnering with engineering, product, and design teams to define scope, roadmaps, and drive execution across the SDLC. Responsibilities include managing risks, contributing technical expertise when needed, and communicating program health. Experience supporting AI/ML-driven products is preferred. | — | 5 |
| AIML Data Operations - Site Project Representative The AIML Data Operations team is seeking an experienced Site Project Representative (SPR) to drive critical program projects that provide data at scale for engineering teams to build robust AIML features for millions of customers worldwide. The role involves developing project elements, creating and managing project plans, recruiting participants, and partnering with operations stakeholders. Responsibilities include managing resource plans, coordinating project rollouts, providing technical support, and working with tool owners to update tools. | — | 0 |