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 - Intern Research-focused ML Engineer Intern at Apple's AI/ML org, focusing on data curation, model evaluation, and exploring new ML methods for large-scale systems, computer vision, NLP, and multi-modal understanding. The role involves collaborating with researchers and engineers to develop transformative products and publish groundbreaking research. | DataPost-train | 9 |
| 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 |
| Machine Learning Manager - AI, Search & Knowledge Platforms Machine Learning Manager to lead a team building AI, Search, and Knowledge Platforms for Apple products like Siri and Apple Intelligence. The role focuses on integrating LLMs with server-side architectures to deliver scalable, reliable, and user-centric AI services and agentic systems. | AgentServe | 8 |
| Machine Learning & AI Engineer This role focuses on developing and implementing AI solutions, particularly in computer vision and NLP, to improve failure analysis and lab operations. It involves leading research, design, and development of advanced AI models, building software pipelines for training and deployment, and integrating AI into real-world applications. | Post-trainAgent | 8 |
| Senior Software Engineer, Machine Learning & AI Senior Software Engineer on the Product Integrity AI/ML team at Apple, focusing on developing and deploying AI/ML solutions for hardware product design, manufacturing, and testing. The role involves building scalable infrastructure for ML workflows, including agentic systems, and applying techniques like LLMs, custom model training, and RAG to hardware challenges. The position requires strong software engineering skills, leadership, and mentorship. | AgentServe | 8 |
| Silicon Automation Engineer - Robotics and AIML Seeking an automation engineer with expertise in Silicon Validation, robotics control, AIML, and software development to build an intelligent automation system for silicon validation. The role involves integrating software and hardware, controlling robotics with computer vision and ML, and implementing AI/ML models for detection, collision avoidance, and control. | Agent | 8 |
| AI Data Scientist This role focuses on evaluating, optimizing, and analyzing the performance of ML and multi-modal LLMs. The Data Scientist will develop metrics, conduct failure analysis, process data for evaluation, and implement optimization techniques. They will collaborate with cross-functional teams to integrate models and communicate results. The role requires experience with model evaluation, RAG, and LLM prompt evaluation, with preferred experience in multi-modal foundation models and GenAI frameworks. | Eval GatePost-train | 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 |
| Subject Matter Expert - Automation & AI/ML This role focuses on leading the automation of manufacturing processes, specifically PVD coatings, by integrating robotics, PLCs, and machine learning/AI models for defect detection, predictive maintenance, and yield optimization. It requires a blend of physical automation leadership, digital transformation, and domain expertise in PVD processes and failure analysis. | ServeData | 7 |
| Conversational Designer This role focuses on designing and optimizing conversational AI experiences for Apple's online store, aiming to enhance customer engagement and satisfaction. The designer will lead the conceptualization and implementation of chatbot conversations, leveraging technologies like RAG and AI QA tools, and ensuring brand voice consistency. The role requires a blend of creativity, strategic thinking, and technical understanding of how AI models retrieve information and generate responses. | Agent | 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 |
| Subject Matter Expert - Automation & AI/ML This role focuses on developing and implementing next-generation automated processes for cosmetic and protective finishes (PVD coatings, Ink Printing) in high-volume manufacturing. It involves both physical automation (robotics, PLCs) and digital automation, including machine vision and deploying ML/AI models for predictive maintenance, defect detection, and process optimization. The role requires integrating automation parameters with materials chemistry and collaborating with cross-functional teams. | AgentServe | 7 |
| Manager, Machine Learning Engineering Manager for a Machine Learning Engineering team focused on manufacturing applications at Apple. The role involves leading a team of ML and MLOps engineers to build, deploy, and scale AI-driven systems for the product lifecycle, from prototype to announcement. Requires technical expertise in AI, leadership skills, and experience with MLOps, Computer Vision, and scaling ML systems. | Serve | 7 |
| Software Engineer, Machine Learning & AI Software Engineer role focused on developing and delivering AI/ML solutions for Apple's hardware product line, including agentic systems and RAG architectures, with responsibilities spanning training, evaluation, and inference pipelines. | AgentServe | 7 |
