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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| Senior Data Scientist, Marketing Analytics Senior Data Scientist role focused on marketing analytics, using AI/ML to understand customer behavior, develop insights, and build predictive models for personalized marketing communications. The role involves end-to-end solution delivery, partnering with ML teams, and leveraging LLM tooling. | Ship | 5 |
| Senior AI/ML Software Development Engineer in Test This role is for a Senior AI/ML Software Development Engineer in Test at Apple, focusing on building developer tools, test frameworks, and libraries for AI/ML services and pipelines. The engineer will be responsible for designing, implementing, and maintaining automation tests, partnering with cross-functional teams to drive quality assurance best practices, and identifying process inefficiencies. The role requires proficiency in programming languages like Java or Python, advanced experience in testing frameworks for distributed systems and ML pipelines, and a passion for quality engineering in the AI/ML space. | Serve | 5 |
| Engineering Program Manager, AI and Data Platform, Apple Services Engineering Apple is seeking an Engineering Program Manager to drive the adoption of machine learning and equip engineering teams with robust data insights. This role focuses on shaping and scaling the ML infrastructure and data platform that powers AI application development across Apple Services, supporting the ML lifecycle from data ingestion to model training and product quality enhancement. | Serve | 5 |
| Machine Learning Software Engineer Software Engineer with 5+ years of experience in Java development, distributed systems, and Search/Information Retrieval, with a keen interest in Generative AI. The role involves building, scaling, and maintaining enterprise platforms for Search, Knowledge Graph, ML, and inferencing systems, focusing on high availability, performance, and low latency. | ServeAgent | 5 |
| Software Development Engineer - Ads Delivery Software Development Engineer to build highly scalable platforms and services for Apple's Advertising Platforms group. Responsibilities include designing, implementing, and operating distributed and scalable services and data applications, building efficient data pipelines, and applying machine learning techniques to enhance ad targeting and measurement. Requires strong experience in distributed systems, microservices, big data technologies, and cloud platforms. | Data | 5 |
| Conversational System Manager The Conversational System Manager will lead a team of product managers and conversational designers to develop and manage conversational AI experiences for Apple Store Online in China. This role involves strategic planning, cross-platform design, stakeholder collaboration, and performance measurement, with a focus on delivering intuitive, brand-aligned AI interactions that enhance customer experience and drive business outcomes. | Agent | 5 |
| Design Engineer — App Store & Games Product Design Team Design Engineer for Apple's App Store & Games Product Design Team, focusing on engineering infrastructure, tooling, and workflows for AI-assisted design and prototype development. The role involves building and shipping production-quality prototypes, working with Swift/SwiftUI and web technologies, and collaborating with design and engineering teams. The position emphasizes staying at the forefront of AI-assisted development and enabling designers with robust engineering practices. | — | 5 |
| 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 |
| EPM, Applied Machine Learning, AI & Data Platforms (AiDP) Engineering Program Manager for Apple's Applied Machine Learning (AML) team, focusing on fraud prevention within Wallet, Payments, and Commerce. This role involves product and project management, driving complex projects, and enhancing the AML platform by collaborating with various engineering and data science teams. | — | 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 |
| AIML- Compliance & Policies Lead, Evaluation This role leads privacy and regulatory compliance efforts for Apple's AIML initiatives. It involves developing AIML policies, establishing controls, monitoring adherence to laws and standards, and ensuring new features meet requirements from day one. The role requires deep knowledge of privacy regulations, compliance programs, and AI regulations, and collaborates closely with engineering, data science, legal, and privacy teams. | — | 5 |
| AIML - Data Operations Program/Project Manager This role is for a Program/Project Manager within Apple's AIML Data Operations group, focusing on Siri and Apple Intelligence. The primary responsibility is to drive programs that enhance data operations at scale for AI/ML engineering teams, improve operational efficiency, and manage cross-functional initiatives. The role involves defining policies, managing workflows, and acting as a liaison between business and engineering teams to ensure AI/ML capabilities are embedded. | — | 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 |