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 |
|---|---|---|
| Prompt Engineer – AI Sales Training & Video Content This role focuses on designing, building, and optimizing AI-driven sales training content, including AI-generated videos, role-play simulations, and coaching scenarios. The candidate will create structured prompts, workflows, and scripts to generate high-quality sales skills training materials, working closely with sales enablement leaders and instructional designers to develop scalable AI-powered training experiences for sales teams. | Ship | 5 |
| Program Manager, Program Management Office (PMO), Apple Services Engineering (ASE) Program Manager for Apple Services Engineering (ASE) PMO, focusing on driving program delivery excellence. This role will identify, evaluate, and champion AI-powered tools and workflows to improve planning, documentation, and delivery processes. The PM will act as a change agent for AI fluency, helping teams integrate AI into daily program work and translate AI capabilities into practical standards and LLM-based tool adoption. |
| — |
| 5 |
| Operations Finance Process and Technology Expert This role focuses on developing and implementing technology solutions for global operations finance processes, with a strong emphasis on integrating AI/ML, GenAI, and agentic AI capabilities. The expert will drive process optimization, own technical roadmaps, and collaborate with engineering and data science teams to leverage AI for scalable outcomes in supply chain and logistics. | Agent | 5 |
| Lyrics Program Manager, AIML & Tooling Program Manager for Apple Music's Lyrics Operations, focusing on end-to-end delivery of Machine Learning and Tooling initiatives to improve the lyrics experience for millions of subscribers. The role involves managing complex projects, bridging engineering and operations, and ensuring global alignment. | Ship | 5 |
| Support Engineer Support Engineer for Apple's Decision Intelligence (DI) team, focusing on implementing and operating AI solutions for Sales. The role involves full-stack support, debugging data science and AI insights workflows, web engineering, and managing triage and escalation pipelines. Responsibilities include diagnosing pipeline failures, data quality issues, LLM output regressions, patching bugs in backend services and APIs, and improving support runbooks. Requires strong debugging skills, proficiency in Python and Node.js, experience supporting data science workflows, and familiarity with SQL and distributed systems. Experience supporting LLM-powered applications and observability tools is preferred. | — | 5 |
| Engineering Program Manager Engineering Program Manager to scale AI-enabled insights generation and data operations for Apple Sales, coordinating cross-functional teams to ensure accuracy, actionability, and operational reliability. | Ship | 5 |
| Apple Silicon GPU Driver Engineer - Performance, Graphics, Games, and ML The Apple Silicon GPU Driver Performance team is looking for an engineer to optimize GPU performance across Apple's product line, focusing on AI/ML, GPGPU, gaming, and rendering workloads. This role involves driving performance analysis, developing tools and frameworks for performance analysis, and collaborating with internal and external developers to optimize GPU applications and shaders on Apple Silicon GPUs. | Serve | 5 |
| Latin America (ALAC) AI Business Process Champion This role acts as a bridge between Sales operations and AI/ML transformation, focusing on identifying and integrating AI/ML solutions to improve sales processes. The individual will map workflows, identify opportunities for AI/ML, partner with engineering teams, and own the business-side integration of AI tools and agents, ensuring they meet user needs and comply with internal policies. | Agent | 5 |
| US Sales Finance PART Analyst The US Sales Finance PART team is seeking a technical Finance Analyst to support Apple's growth by improving data, automating processes, and unlocking insights. This role involves understanding current finance operations, identifying improvement opportunities, and partnering with engineering and data teams to deliver solutions. Responsibilities include hands-on SQL analysis, contributing to the data ecosystem, building dashboards, training users, and writing documentation. The role emphasizes finance, process, and technology, with a focus on driving AI transformation within the Sales Finance organization. | — | 5 |
| Privacy Engineer - Systems Experiences, Apps, and Technologies This Privacy Engineer role at Apple focuses on designing and reviewing features and data collection methodologies to protect user privacy, particularly in the context of generative AI systems and fraud detection. The role involves guiding the development of data collection systems for training and evaluating AI, auditing products for privacy risks, and partnering with technical experts to build privacy-preserving features. | Data | 5 |
| Security Engineer - Apple Pay Security Engineer role focused on building AI agents and workflows to enhance security testing and practices within the SDLC for Apple Pay products. The role involves developing and refining AI tools, threat modeling, and hands-on security testing, with an emphasis on validating AI findings. | Agent | 5 |
| Sr. Technical Program Manager, Wallet Services Analytics This role is for a Senior Technical Program Manager to lead the strategy and execution of Apple Wallet's analytics platform. The focus is on building a privacy-centric data foundation for understanding and improving services used by millions of customers. The TPM will drive cross-functional initiatives, define technical strategy for analytics infrastructure, champion user privacy, and ensure data collection and processing are compliant and secure. The role requires experience in data engineering and analytics lifecycles, big data technologies, and shipping scalable data platforms. While GenAI is mentioned for automation, the core of the role is managing data platforms and analytics, not directly building AI models. | — | 5 |
| Data Scientist, Maps Evaluation Data Scientist focused on the deep evaluation of Apple Maps search services, features, monetization initiatives, and Apple Business. This role involves defining success metrics, evaluating product performance, understanding user behavior, and driving data-informed decisions through experiment design, A/B testing, funnel analysis, exploratory data analysis, AI/ML modeling, and data mining. | Eval Gate | 5 |
| Technical Enablement Engineer This role focuses on enabling engineers to build secure software by creating documentation, automation, and learning resources, including authoring skills files and system-level instructions for LLM-assisted development tools to encode security best practices. The goal is to make secure development intuitive and accessible at scale. | Agent | 5 |
| System Quality Manager - Vision Pro and Home System Quality Manager for Vision Pro and Home products at Apple, leading a team of QA engineers to ensure high quality in hardware and software development. The role involves early engagement in development, technical guidance, driving quality initiatives, and managing project timelines. A basic understanding of ML models and AI applications is required. | — | 5 |
| Change Manager, AIML Data Operations This role is a Change Manager within Apple's AIML Data Operations group, focusing on driving organizational change initiatives related to data operations for AI/ML algorithm development, specifically for Siri and Apple Intelligence. The role involves designing and leading change management strategies, developing communications and training, and partnering with cross-functional teams to ensure adoption of new processes and tools for engineering teams building AI features. | — | 5 |
| Enterprise Product Marketing Manager, AI & Technical Marketing Product Marketing Manager for AI in the enterprise at Apple, focusing on translating complex AI capabilities into business value for enterprise customers. This role involves defining marketing strategy, crafting messaging, developing assets, and driving adoption programs, while also gathering customer feedback for product development. | — | 5 |
| Wi-Fi Software Engineer, Wireless Technologies & Ecosystems Software Engineer role focused on Wi-Fi features within Apple's Wireless Technologies & Ecosystems team. The role involves refining existing features, developing new ones, and leveraging AI/ML tools to improve product quality and development processes. It requires collaboration with cross-functional teams and experience with C/C++, Python, and embedded systems. | — | 5 |
| Forward Deployed Engineer, Maps Client QE Intelligence This role focuses on building and deploying AI-native tooling for the Maps Client Quality Engineering organization. The engineer will work closely with users to understand their workflows, identify pain points, and translate these insights into tools that improve triage, release readiness, test automation, and root cause analysis. The role emphasizes end-to-end ownership, from discovery and build to ship and adoption, with a focus on making AI capabilities a consistent and supported part of daily workflows. The engineer will partner with various teams including QE leads, SDETs, SWE platform teams, Maps Eval, Release Engineering, and Apple's AI/ML platform organization. | Agent | 5 |
| Camera Tuning & Image Quality Engineer This role focuses on tuning and defining still image quality and user behavior for Apple camera products, leveraging computer vision, image processing, and machine learning. The engineer will work on camera pipeline architectures, analyze image quality, and contribute to features like Deep Fusion and Night Mode. | Post-train | 5 |
| Software Development Engineer in Test Software Development Engineer in Test role focused on media services QA, developing tools and frameworks for automation testing. The role involves designing and creating AI agents, and experience with ML model training/fine-tuning and building enterprise ML applications is preferred. | Agent | 5 |
| Electrical Simulation CAE Engineer Seeking a simulation engineer to develop and implement electrical and electromagnetic simulation workflows. This role involves applying AI/ML techniques to enhance design iterations and analysis for signal integrity, power integrity, EMI/EMC, magnetics, and electromagnetic simulations. Responsibilities include workflow creation, vendor partnerships, AI/ML application, data analysis, tool support, and HPC job management. | Serve | 5 |
| OS Performance Tools Engineer This role focuses on building AI-assisted workflows and tools to improve the performance analysis of code across Apple's platforms. The engineer will leverage AI to automate investigations, gain deeper insights from data, and connect related issues, ultimately enhancing the effectiveness of tools for both internal Apple engineers and third-party developers. | Agent | 5 |
| Senior Maching Learning & Data Scientist, OS Power & Performance Senior Machine Learning & Data Scientist role focused on quantitative analysis of high-dimensional data to improve Apple's product performance. Responsibilities include producing metrics, models, and simulations, applying statistical analysis to product development, and writing production-level code. Requires a strong foundation in statistics, software engineering, and data engineering. | Data | 5 |
| Evaluation Reliability SRE This role focuses on the reliability and operational excellence of ML evaluation infrastructure, specifically the production backbone for Siri's quality signal. It involves managing resources, orchestration, on-call response, and observability systems to ensure the trustworthiness of evaluation infrastructure. The role requires hands-on experience in site reliability, infrastructure engineering, and operating production systems, with a focus on proactive reliability work and incident response. | Eval Gate | 5 |
| Program Manager, Distribution Center Operations Program Manager for global Distribution Center operations, focusing on driving performance, priorities, and analytical direction. The role involves building analytics frameworks, identifying operational trends, and translating data into actionable insights and executive-level narratives. It requires strong analytical, storytelling, and cross-functional collaboration skills in a fast-moving, undefined environment. | — | 5 |
| Senior Maching Learning & Data Scientist, OS Power & Performance This role focuses on quantitative analysis of high-dimensional data to improve Apple's software and hardware performance. The Senior Machine Learning & Data Scientist will produce metrics, models, and simulations, applying statistical analysis and writing production-level code. The role involves data engineering, ETL processes, and influencing product development decisions. | Data | 5 |
| Wallets, Payments & Commerce- Marketing Program Manager Marketing Program Manager at Apple, responsible for supporting and driving key marketing programs. This role involves strategic planning, project management, and leveraging data to optimize performance, with a focus on implementing and adopting new marketing technologies and AI-driven tools. Requires 5+ years of experience in marketing or program management, with strong comfort using AI tools and data analysis for marketing strategies. | — | 5 |
| Full Stack Engineer (AML), AI & Data Platforms (AiDP) Full Stack Engineer for Apple's AI & Data Platforms (AiDP) team, focusing on building and scaling the platform that enables AI/ML-powered applications across Apple. The role involves front-end development (JS frameworks), back-end services (Java, Spring, Node), and integrating with ML engineers, DevOps, and SREs to ensure efficient platform utilization and feature delivery for AI/ML adoption. | — | 5 |
| Data Engineer Data Engineer role focused on building and maintaining high-volume data processing pipelines, ingestion, and ETL/ELT applications. The role involves applying Generative AI, RAG, and ML for anomaly detection to enhance data analytics capabilities, with a focus on cloud environments using technologies like Kafka, Spark, Flink, Docker, and Kubernetes. | DataAgent | 5 |
| Manager - WW Ops BPR - Business Operations Strategy & Support Manager role focused on leading systems and strategy for Apple's global operations, particularly for New Product Introductions (NPIs). The role involves defining end-to-end systems readiness strategy, managing production support, driving continuous improvement, and leveraging AI/ML to enhance operational resilience and identify risks. It requires people leadership and experience with enterprise systems and business processes. | — | 5 |
| Software Development Engineer in Test, Swift Platform Experience Software Development Engineer in Test (SDET) for Swift Intelligence Frameworks, focusing on Foundation Models Framework and App Intents. The role involves pioneering new testing approaches for non-deterministic AI features, designing automated test suites, and ensuring the quality of AI capabilities integrated into Apple's developer frameworks across multiple platforms. | Ship | 5 |
| Fraud Investigations Optimization Project Manager, Apple Store Online Project Manager for Apple Store Online Fraud Investigations team, focusing on process improvement and data-driven decision-making to deliver scalable solutions. The role involves managing projects, analyzing data, and collaborating with cross-functional teams to protect customers and Apple from fraud. | — | 5 |
| Senior Software QA Engineer, Siri Client Platforms Senior Software QA Engineer for Siri Client Platforms at Apple, focusing on spatial computing and immersive technologies. The role involves defining and driving quality strategy, building automation frameworks, collaborating with cross-functional teams, and improving quality workflows using tools like Claude. Requires strong experience in software quality engineering, test automation, and working with ML/data science teams. | — | 5 |
| Business Infrastructure Demand Planner This role focuses on planning, forecasting, and scaling cloud and datacenter infrastructure capacity to meet current and future demands. It involves optimizing resource allocation, partnering with engineering, finance, and supply chain teams, and developing scalable planning processes. While the role integrates AI/ML methodologies for capacity planning, its core function is not building AI models but rather using AI/ML as a tool for infrastructure optimization. | — | 5 |
| Senior Data Engineer Senior Data Engineer for Apple's App Store team, focusing on designing and delivering privacy-centric data products, including pipelines and analytical outputs. The role involves architecting distributed pipelines, building self-service data platforms, and implementing GenAI-driven observability. Collaboration with various Apple teams is key, and the ideal candidate has strong software engineering and data expertise. | Data | 5 |
| Engineering Project Manager, Ai & Data Platforms (AiDP) The Engineering Project Manager will orchestrate the delivery of complex, cross-functional initiatives for Apple's AI & Data Platforms (AiDP) team, which focuses on AI-powered innovation using generative AI, data services, and machine learning to improve efficiency and adoption across Apple. The role involves managing diverse engineering teams, facilitating technical discussions, contributing to technical strategy, and championing user experience to deliver enterprise data analytics, GenAI platforms, and other solutions. | — | 5 |
| Senior Manager, Global AppleCare Products AI Strategy & Operations This role leads the strategy and operations for integrating AI into AppleCare's insurance and service plan products. The manager provides insurance domain expertise and strategic direction, partnering with technical teams who execute AI/ML development. The focus is on leveraging AI to optimize product performance, claims, and customer experience within the insurance context, including underwriting, claims, fraud detection, and customer support. | — | 5 |
| Senior Product Manager Senior Product Manager to lead the strategy, roadmap, and execution for transforming manufacturing workflows into Agentic AI systems. This role involves close collaboration with AI/ML engineers and software engineers to build impactful, intelligent software products, focusing on user research and data analysis to drive product decisions and iterative improvements. | Agent | 5 |
| Wireless Bluetooth Quality Engineer, Wireless Technologies & Ecosystems This role focuses on ensuring the quality of Bluetooth-enabled features across Apple's product lineup. The engineer will be responsible for testing, validation, and driving engineering partnerships. A key aspect of the role involves designing, developing, and maintaining test automation frameworks, including robotics-based systems, to validate next-generation Bluetooth connectivity. The role also involves developing innovative test tools using Generative AI to improve workflows and test coverage. | — | 5 |
| Computational Linguist, Proactive Computational Linguist role focused on data generation, annotation, analysis, and testing for entity resolution systems, which power personalized search and resolution capabilities. Requires strong data and analytical skills, coding in Python/R, and a basic understanding of ML concepts. | Data | 5 |
| CAE Engineer This role focuses on developing and implementing AI/ML applications and workflows for engineering simulations to accelerate design iterations and improve model accuracy. The engineer will create simulation solutions, partner with vendors, and support internal tools across various simulation domains. | Serve | 5 |
| Machine Learning Software Engineer Software Engineer with 8+ years of experience in Java and distributed systems, focusing on Search, Information Retrieval, and Generative AI for enterprise applications. The role involves building, scaling, and maintaining high-performance systems for Search, Knowledge Graph, ML, and inferencing, with an emphasis on availability, performance, and low latency. | ShipServe | 5 |
| User Acceptance Testing Specialist This role focuses on User Acceptance Testing (UAT) for customer-facing solutions and operational workflows within Apple's Central Marketing Operations team. While not directly building AI models, the role involves blending traditional validation practices with machine learning evaluation, test data pipelines, and prompt engineering using existing AI models, indicating an AI-adjacent function within a mature AI environment. | — | 5 |
| Engineering Project Manager (EPM), Customer Systems This role is for an Engineering Project Manager (EPM) at Apple, focused on delivering complex engineering projects from conception through launch. The candidate will manage cross-functional teams, bridge technical and business stakeholders, and ensure project delivery on time and within budget. A key aspect of the role involves leveraging Generative AI tools and LLMs to enhance program management workflows, such as technical documentation, automated status reporting, and data synthesis. While the role utilizes AI tools, its core function is project management, not AI/ML development. | — | 5 |
| Legal Counsel - Litigation, AIML/Online Safety Legal Counsel for litigation focusing on AI/ML and online safety, managing complex cases and working with cross-functional teams. | — | 5 |
| AIML Data Operations - Account & Program Manager Program Manager for AI/ML Data Operations, responsible for ensuring the quality and efficiency of data annotation processes that enable AI advancements. This role involves translating needs into plans, managing projects from prototype to scale, partnering with various teams, and resolving issues to deliver high-quality annotated data. | — | 5 |
| Services Finance, Data Scientist This role focuses on leveraging AI coding assistants and agentic AI frameworks to build and deploy analytical solutions within Services Finance at Apple. The Data Engineer will partner with stakeholders to understand business problems, design data-driven solutions, prototype rapidly using AI tools, and build production-ready models and automated pipelines. The role requires strong statistical and machine learning fundamentals, proficiency in Python/R, SQL, and experience with prompt engineering and agentic workflows. | Ship | 5 |
| Software Development Engineer - Test, Graphics, Games & ML Software Development Engineer - Test role focused on ensuring the quality of on-device machine learning technologies at Apple. The role involves developing infrastructure, automation, and services for validation and qualification, maintaining CI/CD pipelines, and collaborating with various teams across hardware, software, and product development. Experience with ML frameworks is preferred. | Eval Gate | 5 |
| Software Engineer, Triage Intelligence and Debug Engineering, CoreOS Software Engineer role focused on Triage Intelligence and Debug Engineering within Apple's CoreOS. The role involves improving and maintaining device management systems, collaborating with cross-functional teams, and potentially applying ML/AI techniques to systems problems like crash clustering and log anomaly detection. Familiarity with LLMs and generative AI tooling is preferred. | Data | 5 |
