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 focused on Evaluation & Insights for the Human-Centered AI team at Apple Media Services. The role involves evaluating and optimizing Foundation Models and generative AI systems, architecting evaluation frameworks, designing MLOps pipelines, and translating failure modes into guardrails and training signals. This position bridges human perception and algorithmic performance, working cross-functionally to ensure AI experiences are reliable, safe, and aligned with human expectations. | Eval GatePost-train | 9 |
| Data Scientist, EMEIA Sales This role focuses on developing and deploying AI-powered applications, specifically agentic systems, for sales use cases. The Data Scientist will research, test, and implement these solutions, working with various stakeholders to drive AI adoption and educate non-technical teams. The role involves hands-on work with LLMs, agent frameworks, and prompt engineering, with a good understanding of RAG and vector databases. |
| Agent |
| 8 |
| Applied Machine Learning Engineer - Developer Publications Applied Machine Learning Engineer focused on building and maintaining LLM evaluation pipelines for developer tools at Apple. The role emphasizes MLOps/LLMOps, assessing model quality, tracking regressions, and supporting continuous improvement cycles, requiring strong engineering fundamentals and LLM evaluation experience. | Eval GatePost-train | 8 |
| Senior Software Engineer - Siri Agentic Evaluation Platform The role involves building software platforms and tools for evaluating Siri's quality and effectiveness using agentic technology. The primary focus is on creating evaluation platforms that provide feedback signals throughout the software lifecycle, with a secondary focus on the agentic technology itself. | Eval GateAgent | 7 |
| Data Architect, EMEIA Sales Apple is seeking a Data Architect to build a foundational data and AI platform for its EMEIA sales organization. This role focuses on creating a cutting-edge, AI-powered retrieval platform that transforms sales data into actionable insights, serving as the backbone for AI assistants and copilots. It's a hands-on, production-focused data engineering role involving end-to-end feature ownership and operational responsibility. | AgentData | 7 |
| SRE, London Site Reliability Engineer for FoundationDB infrastructure at Apple, focusing on operating and scaling distributed systems across multiple data centers and cloud environments. Responsibilities include provisioning, managing, and monitoring FoundationDB, developing automation in Java and Go, and collaborating with development teams. | — | 0 |
| Software Engineer (Distributed Systems, Java) Software Engineer role focused on building and improving features and services for Apple's digital content platforms (Podcasts, Apple Music, etc.). The role involves designing, implementing, and optimizing large-scale distributed data systems, data pipelines, and data stores, with a focus on personalization features, customer experience, and privacy. Requires strong Java server engineering skills and experience with distributed systems and large data technologies. | — | 0 |
| Software Engineer - Infrastructure,SWE Developer Foundations Software Engineer focused on building and improving large-scale distributed systems and tools for Apple's internal software engineers, supporting their development and testing lifecycle. | — | 0 |
| Senior Legal Counsel - Commercial Litigation Senior Legal Counsel specializing in Commercial Litigation for Apple's London office, managing complex multi-jurisdictional cases across Europe and beyond. Requires extensive experience in consumer and commercial litigation, strategic case management, and strong communication skills. | — | 0 |
| Software Engineer - Darwin Server, Core OS Software Engineer on the Darwin Server team at Apple, focusing on developing system software for Apple's operating systems, particularly for server and cloud environments. Responsibilities include enabling server application packaging, integrating with cloud orchestration, improving observability, and developing security/privacy features for Private Cloud Compute. Requires experience with UNIX-like systems and OS architecture. | — | 0 |
| Software Engineer, Security Software Engineer focused on security for Apple's Cloud Object Store (ACOS) team, which handles petabytes of data. The role involves building authentication, authorization, and encryption foundations for large-scale cloud infrastructure, ensuring data protection at exabyte scale. Responsibilities include designing authentication systems, implementing encryption-at-rest, building IAM policy enforcement, driving compliance, and conducting threat modeling, alongside broader storage engineering work. | — | 0 |
