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 |
|---|---|---|
| AIML Data Operations - Annotations Production Team Manager This role manages a team of crowd managers responsible for overseeing external vendor workforces that produce annotated data for AI/ML models. The focus is on vendor management, production operations, quality oversight, and scaling data annotation processes to meet Apple's AI innovation needs. | Data | 5 |
| Senior Cybersecurity Expert – Supply Chain Resilience This role focuses on leading a transformational initiative to safeguard Apple's global supply chain against AI-empowered cyber threats. It involves scaling AI-driven approaches for resilient operations, moving from traditional assessments to continuous, AI-augmented assurance, and defending against AI-weaponized adversaries. The role requires a blend of cybersecurity expertise, AI fluency, supply chain acumen, and program management skills to drive large-scale, cross-jurisdictional initiatives with limited resources. | — |
| 5 |
| Staff Data Scientist - Experimentation Staff Data Scientist role focused on building and supporting an ads experimentation platform using machine learning and statistical methods. The role involves designing experiments, analyzing data, developing scalable tools, and collaborating with cross-functional teams to drive feature launches while ensuring user privacy. Requires strong SQL, Python, and causal inference skills, with experience in A/B testing infrastructure and data pipelines. | Ship | 5 |
| ML Engineer - Experimentation, Portal ML Engineer to build the next generation experimentation platform for Apple Ads, transforming complex ML workflows into intuitive web applications. This role involves introducing AI-powered insights, developing workflows from model training to A/B testing and evaluation, and building RAG models. | AgentEval Gate | 5 |
| Senior Software Engineer, System Experience - Personalization Senior Software Engineer to work on on-device intelligence for iOS personalization, focusing on features like notification management, widget relevance, and app prediction. The role involves designing, architecting, and implementing software and frameworks for core system experiences across Apple platforms, with a strong emphasis on user experience and privacy. | Agent | 5 |
| Engineering Manager, App Store Data Engineering Manager for App Store's data engineering and analytics team, focusing on compliance-critical data products, pipelines, and analytical outputs. The role involves people leadership, technical guidance, and ensuring operational excellence while partnering with stakeholders to deliver scalable data solutions. Emphasizes AI-native development practices and LLM-augmented workflows across the SDLC, with a strong focus on data quality, governance, and compliance. | Data | 5 |
| Technical Program Manager, Connector Technical Program Manager role focused on collaborating with multi-functional teams to automate manual processes and improve manufacturing effectiveness for Apple products. The role involves leading engineering builds, managing technical risks, and driving design for manufacturing, process development, and ramp execution. While the role requires understanding of ML/AI concepts and mentions AI-empowered optimization, its core function is in program management and manufacturing engineering, not direct AI/ML model development or deployment. | — | 5 |
| Photos Imaging Software Engineer, Camera & Photos Software engineer for Apple's Photos team, focusing on next-generation image and video editing features using computer vision and ML-based image processing for products shipping to millions. | Ship | 5 |
| Video Content Data Scientist Data Scientist role focused on the Video business (including Apple TV+) to provide insights on content performance, strategy, and customer experience. The role involves building machine learning models to predict business outcomes and drive operational decision-making, collaborating with business, marketing, product, and engineering teams. | Ship | 5 |
| Senior Manager of Quality Assurance, AIML Data Operations Senior Manager of Quality Assurance for AIML Data Operations at Apple. This role focuses on leading the QA function for data annotation pipelines that feed into AI/ML models. Responsibilities include defining quality standards, managing a team of QA professionals, developing scalable QA processes, and collaborating with Data Science and ML Engineering teams to ensure high-quality labeled data. The role requires a strong understanding of AIML concepts and practical experience in data quality assurance at scale. | Data | 5 |
| Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction The role focuses on building the data and infrastructure ecosystem to support ML development for Siri. It involves end-to-end ownership of services and data products, working closely with ML Modeling, Infrastructure, Software, Hardware, and Operations teams. | Data | 5 |
| Sr. Machine Learning Infrastructure Engineer, Creator Studio This role focuses on building and maintaining scalable ML data infrastructure for creative editing tools, enabling high-quality ML model development. It involves sourcing multimodal datasets, building data pipelines, and supporting model development teams. | Data | 5 |
| Sr Full-Stack Software Engineer, AIML Data Operations This role is for a senior full-stack software engineer focused on delivering high-quality data for LLM training and evaluation. The engineer will build and operate custom internal software solutions, including data collection clients (Swift/web apps), web services, and large-scale distributed data-processing pipelines. The role is crucial for foundational AI development at Apple, contributing to products like Apple Intelligence and Siri. | Data | 5 |
| Sr Software Engineering Manager, AIML Data Operations Engineering Manager for AIML Data Operations at Apple, leading a team that builds software for machine learning data collection and delivery at scale. The role involves technical direction, team leadership, and collaboration with ML researchers and product teams. | Data | 5 |
| Senior Software Engineer (Ads Platform)- Experimentation Senior Software Engineer to build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers. Your work will drive the experimentation framework development of machine learned algorithm at scale. You will build sophisticated systems essential in the end-end development of predictive algorithms. You will design and engineer tools for managing AB test experiments, for performing exploratory analysis, and for real-time monitoring of experiment behavior, while preserving privacy of our customers. | Agent | 5 |
| iOS/macOS Software Engineer Software Engineer role focused on building native iOS/macOS applications for hardware product development tools at Apple. The role involves integrating AI/ML capabilities and on-device intelligence into these applications, which are used by thousands of engineers and manufacturers to develop, debug, and verify systems before customer release. The work is at the intersection of hardware, software, and AI/ML, with high visibility and impact on product quality. | — | 5 |
| Software Engineer, Siri Runtime Systems and Interaction Software Engineer role focused on developing and advancing the distributed system logic for Siri's natural interaction platforms on Apple devices. The role involves architecting simulation frameworks, creating evaluation datasets, benchmarking system policies, and collaborating with cross-functional partners to ensure seamless user request responses across complex environments. | Agent | 5 |
| Data Scientist, AIML Data Scientist This role focuses on data operations and capacity planning within an AI/ML context, specifically analyzing annotator performance, task complexity, and data characteristics to optimize data annotation workflows and project scoping. The goal is to ensure high-quality annotated data for unreleased products and AI technology by improving efficiency and quality through data-driven insights and experimentation. | Data | 5 |
| AI, Search & Knowledge - Senior Software Development Engineer, Tech Ops This role focuses on the reliability engineering of ML compute platform infrastructure, ensuring scalability, stability, and efficient resource utilization. The engineer will manage the entire lifecycle of ML compute platform reliability, from addressing user queries to proactively improving system performance and implementing operational tools and processes. The role requires strong software development skills in languages like Python and Golang, experience with large-scale ML services, and familiarity with orchestration frameworks like Kubernetes. | Serve | 5 |
| Data Integration Engineer Data Integration Engineer responsible for building and maintaining data pipelines for structured and unstructured data to support AIML model development and deployment. Focuses on data infrastructure, data quality, and integration for sales processes. | Data | 5 |
| Data Science Leader, AIML Data Operations This role leads a Data Science team focused on AIML Data Operations, establishing health metrics, identifying growth drivers, and recommending optimizations for high-quality annotated data to support unreleased AI products. The focus is on analytics, experimentation, and building cross-functional relationships to drive data-informed decisions. | Data | 5 |
| DevOps/Backend Software Engineer DevOps/Backend Engineer role focused on building and maintaining the infrastructure for AI/ML and Generative AI services at Apple's scale. This includes cloud infrastructure, CI/CD pipelines, and evaluation workflows to support hardware product development teams. The role involves collaborating with ML engineering teams to integrate and operationalize models, ensuring reliable pipelines for evaluation, A/B testing, and performance benchmarking. | ServeEval Gate | 5 |
| Software Engineer - Code Observability Software Engineer to build a large-scale code observability system for Apple's OS engineering teams, combining code coverage, static analysis, and GenAI-powered insights with a modern data stack. The role involves developing data pipelines, web applications, and services on Kubernetes using Swift, Python, cloud services, and Snowflake, with a focus on developer productivity and real-time visibility into code quality and risk. | Agent | 5 |
| Devops Engineer- Agents This role is for a Platform Engineer focused on the creation, deployment, and reliability of AI Agents and MCP servers within Apple's Manufacturing Design team. The engineer will work with LLM and GenAI technologies, participate in feature design, and ensure the performance and scalability of backend services and APIs. The role requires strong experience in Go, Python, or Typescript, and in deploying applications using tools like Ansible, Docker, and Jenkins. | Agent | 5 |
| Data Science Manager – Strategic Data Solutions This role is for a Data Science Manager leading a team of data professionals in analytics engineering and experimentation. The focus is on partnering with ML engineering leaders to deliver data analytics, drive experimentation, and optimize performance across business goals. While the role interacts with ML, its core craft is data science and analytics leadership, not direct AI/ML model building. | — | 5 |
| Senior Software Engineer Senior Software Engineer role focused on defining, implementing, and deploying intelligent systems within Apple's Operations organization. Requires strong software engineering and machine learning expertise, with experience in large-scale distributed systems and cloud platforms. | Serve | 5 |
| Devops Engineer (MLops) DevOps Engineer (MLOps) at Apple, responsible for building and managing data and ML infrastructures, pipelines, frameworks, tools, and services in a hybrid cloud environment. Focuses on provisioning, scaling, and maintaining these systems, enabling ML platform adoption, and ensuring operational quality through observability and automation. | Serve | 5 |
| Maintenance and Operations Manager This role is for a Maintenance and Operations Manager at Apple, responsible for overseeing the maintenance and operational performance of facilities. While the role mentions leveraging AI tools and data for predictive maintenance and operational insights, the core function is facility management, not the direct development or deployment of AI models. The AI elements are used as tools to enhance existing processes. | — | 3 |
| Sr. Data Science Leader – iCloud This role is for a Sr. Data Science Leader in iCloud, responsible for defining and scaling the data science vision, building and guiding a high-impact organization, shaping product strategy, driving business outcomes, and elevating decision-making through data-informed insights. The leader will oversee a team of senior data scientists and managers responsible for analytics, experimentation, modeling, and insights that influence product experiences and business strategy. The role requires partnering with Product, Engineering, Design, and Business leaders, influencing executive decisions, and balancing strategic and execution levels in ambiguous environments. | — | 2 |
| Advanced Manufacturing Engineer, Core Tech This role focuses on developing and optimizing advanced manufacturing processes for Apple's next-generation products, leveraging expertise in robotics, machine vision, and precision engineering. The engineer will lead end-to-end development from concept to mass production, ensuring scalability, precision, and quality in highly automated systems. | — | 1 |
| Software Development Engineer Test (SDET), Productivity Apps Software Development Engineer Test (SDET) for productivity apps at Apple, focusing on developing and driving scalable test automation solutions. Responsibilities include planning, designing, writing, maintaining, and executing test cases manually and through automation using Swift and Python. The role emphasizes driving quality improvements, bug reporting with isolation and regression techniques, managing priorities, and continuous learning about app features and testing techniques. Collaboration with team members for multi-functional test efforts is also key. | — | 0 |
| Manufacturing Design Engineer (MDE) - Packaging This role focuses on developing and implementing manufacturing processes for consumer packaging, aiming to achieve product and environmental goals. It involves leading partners in NPI, establishing industry relationships, using data analytics for decision-making, managing technology roadmaps, and collaborating with design teams to leverage manufacturing capabilities for innovative solutions. The role requires a strong understanding of manufacturing process development, GD&T, Tolerance Analysis, and SPC, with an emphasis on data-driven problem-solving and project management. | — | 0 |
| Manufacturing Design Engineer (MDE) - Battery Manufacturing Design Engineer (MDE) responsible for leading the development and implementation of innovative manufacturing processes for Apple's iPhone enclosures, working with worldwide suppliers and cross-functional teams to meet product quality, cost, yield, capacity, schedule, and environmental goals. Focus areas include CNC machining, surface finishing, glass processing, assembly, and painting. | — | 0 |
| Manufacturing Quality Engineer This role is for a Manufacturing Quality Engineer at Apple, focusing on quality processes for consumer packaging parts and assemblies. Responsibilities include developing quality control regimes, conducting DOEs, qualifying regimes for mass production, leading production line qualification, mitigating quality issues with suppliers, and ensuring product quality consistency. The role requires interaction with design teams and coordination between Asia and US-based teams. | — | 0 |
| Technical Writer (IS&T Knowledge and Training) Technical Writer for internal tools and systems at Apple, focusing on creating accessible documentation and training materials for a global workforce. The role involves collaborating with cross-functional teams, understanding complex technologies, and producing clear, engaging content. While not directly building AI, there's an interest in using AI/GenAI tools to improve content creation and documentation workflows. | — | 0 |
| Senior Software Engineer, Wallet Identity Server Senior Software Engineer for Apple's Wallet, Payments & Commerce team, focusing on building resilient and reliable distributed software systems at scale. The role involves the full product and software development lifecycle, including design, build, test, delivery, maintenance, operation, monitoring, and on-call support. | — | 0 |
| Software Engineer, System Experience Software Engineer role focused on building new experiences and future technologies within the System Experience team at Apple. Responsibilities include implementing features, defining APIs, fixing bugs, and improving performance, requiring strong Swift programming, object-oriented design, systems understanding, and collaboration skills. | — | 0 |
| Imaging Scientist, Camera and Photos This role focuses on developing novel imaging technologies and software features for future Apple products, involving exploration, prototyping, and implementation of image processing algorithms. The scientist will work on cross-functional projects, identify new tech, and communicate its benefits. | — | 0 |
| Battery Life QA Engineer Seeking a Battery Life QA Engineer to design, develop, and own automated tests for validating battery life, analyze test results, and collaborate with engineering teams to debug issues. The role involves maintaining test automation frameworks and identifying solutions to streamline workflows. | — | 0 |
| System Experience- Notifications and Focus Engineer Software Engineer for Apple's Notifications and Focus team, focusing on user experience for iOS, watchOS, visionOS, and macOS. Responsibilities include feature definition, design, implementation, bug fixing, and performance optimization. Requires strong object-oriented design, debugging skills, and familiarity with Apple's development APIs (UIKit/SwiftUI). | — | 0 |
| System Experience - Notifications and Focus Engineer Software engineer for Apple's Notifications and Focus team, focusing on user experience for iOS and iPadOS. Responsibilities include feature definition, design, implementation, bug fixing, and performance optimization. Requires strong object-oriented design, debugging skills, and ability to tackle complex problems. | — | 0 |
| 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 |
| OS Performance Engineer, CoreOS This role focuses on OS performance engineering, involving analysis of user experience workloads, identifying bottlenecks, and collaborating with engineering teams to prototype and implement performance improvements. It requires experience in app/framework/systems engineering and proficiency in programming languages like Obj-C, C++, or Swift. Experience with performance tracing and profiling tools is preferred. | — | 0 |
| Data Platform Engineer Apple Ads is seeking a Data Platform Engineer with expertise in building large-scale data systems, including Kafka Connect, Apache Spark, and Apache Flink. The role involves designing and operating distributed data systems, enhancing the platform with modern data solutions, managing stakeholders, and leading projects. Requires proficiency in Java/Scala and experience with distributed systems, APIs, and debugging. Exposure to applied ML, analytics, and BI is a plus. | — | 0 |
| Product Quality Engineer-iPad Product Quality Engineer for iPad at Apple, focusing on ensuring high quality during development and mass production by partnering with suppliers, implementing quality plans, performing audits, and driving corrective actions. Requires experience in manufacturing environments and quality methodologies. | — | 0 |
| Product Quality Engineer-iPad Product Quality Engineer for iPad at Apple, focusing on ensuring high product quality during development and mass production by partnering with suppliers, implementing quality plans, performing audits, and driving corrective actions. Requires experience in manufacturing environments and technical skills in assembly/test processes. | — | 0 |
| Product Quality Engineer-Home Product Quality Engineer role at Apple, focusing on ensuring high quality of consumer products manufactured by partners in China. Responsibilities include developing and implementing quality standards, monitoring production data, performing audits, and driving corrective actions. Requires experience in manufacturing environments and quality methodologies. | — | 0 |
| Advanced Manufacturing Engineer - iPad This role focuses on manufacturing research and development for Apple products, tackling complex problems to improve cost, quality, and delivery. It requires an engineering background, experience in new product introduction, and proficiency in Mandarin and English. Preferred qualifications include strong project management, cost reduction experience, and knowledge of optics, adhesives, and control systems. Machine Learning, JMP, Minitab, and Six Sigma experience are considered a plus. | — | 0 |
| Advanced Manufacturing Engineer - iPad This role focuses on manufacturing research and development for Apple products, tackling complex problems to improve cost, quality, and delivery. It requires engineering experience in automation and new product introduction, with a strong emphasis on problem-solving within defined practices and policies. | — | 0 |
| Site Technical Manager, iPad Site Technical Manager for iPad manufacturing in Shenzhen, China. Responsible for driving strategic direction and operational execution at the factory level, ensuring quality, production, and business goals are met. Acts as a link between manufacturing sites and internal partners for product lifecycle issues, from NPI to refurbishment. Expedites closure of technical operational issues in SMT, Final Assembly, Test, and Pack. | — | 0 |
