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 |
|---|---|---|
| Staff Software Engineer (Applied AI) Staff Software Engineer to advance Manufacturing Systems and Operations using LLMs, from prototyping to production and scaling. This role involves working with various organizations to develop impactful solutions, some standalone and others integrated into existing systems. | AgentPost-train | 7 |
| Senior Machine Learning Platform Engineer - AI, Search & Knowledge Senior Machine Learning Platform Engineer at Apple, focused on building and scaling the AI, Search & Knowledge platform. This role involves creating seamless integrations between ML frameworks and the platform, designing Python SDKs and APIs, and building backend services to support model management and serving infrastructure. The goal is to enable ML practitioners to focus on innovation by abstracting infrastructure complexity. |
| Serve |
| 7 |
| Senior Backend Systems Engineer, Sensing & Connectivity This role focuses on building backend systems for location intelligence, processing sensor data, and applying ML to extract insights. It involves owning the full ML lifecycle from problem formulation to production deployment, with a strong emphasis on software engineering and distributed systems at scale. | DataPost-train | 5 |
| Engineering Program Manager, Data Solutions & Initiatives Apple is seeking a highly technical, execution-focused Engineering Program Manager to drive the delivery of large-scale, strategic business programs within their Worldwide Sales organization's Data Solutions & Initiatives (DSI) team. The role requires a strong technical background to understand architectures, data flows, and development lifecycles, and involves facilitating design discussions, evaluating trade-offs, and working with delivery teams. The EPM will own program planning, coordination, and execution from concept through launch, partnering with engineering, product, and design teams to define scope, roadmaps, and drive execution across the SDLC. Responsibilities include managing risks, contributing technical expertise when needed, and communicating program health. Experience supporting AI/ML-driven products is preferred. | — | 5 |
| Senior ML Engineer Senior ML Engineer to design, develop, and deploy high-performance systems for batch processing and ML workloads across Apple's global infrastructure. Focus on Kubernetes-native scheduling, resource management, and multi-tenant environments for ML training and inference. | Serve | 5 |
| Senior Software Engineer - AI Transparency Platform This role is for a Senior Software Engineer on the AI Transparency Platform team at Apple. The team builds secure identity and transparency services for Apple Intelligence and other critical Apple products, focusing on cryptographic proof, privacy-preserving infrastructure, and auditable logging systems. The engineer will design, build, and operate server-side components, lead technical projects, and mentor other engineers, with a strong emphasis on reliability, security, and user privacy. While the role is within a team supporting AI products, the core craft is backend software engineering for transparency and security infrastructure, not direct AI/ML model development. | — | 5 |
| Sr Software Engineer - Applied Intelligence This role focuses on building native applications and systems for iOS and macOS that integrate machine learning and AI technologies into production experiences. The engineer will collaborate with ML engineers and other teams across Apple to deliver intelligent features for Siri, search, and new product surfaces, with a strong emphasis on the Apple ecosystem's security and privacy. | Ship | 5 |
| SRE Manager, ML Operations This role is for an SRE Manager focused on ML Operations for Apple's Ad Serving infrastructure. The manager will lead and scale SRE teams responsible for the reliability, performance, and availability of ML Platforms and Services, ensuring operational excellence and continuous improvement. The role requires deep technical expertise in large-scale distributed systems and SRE principles, with a focus on managing and optimizing ML systems at scale. | Serve | 5 |
| AIML - Sr Lead Engineer, Evaluation Lead engineer to design and build Apple's next-generation online experimentation platform, driving a culture of experimentation and delivering scalable infrastructure for feature and product improvements. | — | 5 |
| Senior Machine Learning Engineer, Developer Product Analytics Senior Machine Learning Engineer focused on building ML/AI-powered algorithms for developer analytics platforms within Apple Services Engineering. The role involves owning the full ML product lifecycle from problem framing to production deployment, shipping end-to-end ML solutions at scale for content partners and users. | Ship | 5 |
| Software Engineer, System Experience Personalization, UI Software Engineer role focused on building user-facing personalization features for iOS, integrating on-device intelligence while prioritizing privacy and user agency. The role involves designing, prototyping, and shipping UI features, extending UI frameworks, and collaborating with ML, design, and privacy teams. | — | 5 |
| AIML Data Collections Technical Project Manager This role is for a Technical Project Manager on the AIML Data Collections team at Apple. The primary responsibility is to plan, execute, and manage data collection projects that provide high-quality data for ML algorithm development. The role involves working closely with ML engineering teams and managing project portfolios from intake to delivery. | — | 5 |
| Senior Security Engineer - Kernel & Embedded Security, SEAR Senior Security Engineer focused on kernel and embedded security for Apple platforms. The role involves vulnerability research, binary exploitation, security tooling development, fuzzing, and applying AI techniques (LLMs, ML) for security research. Responsibilities include proposing and driving architecture changes, evaluating and strengthening privileged layers, and developing proof-of-concept validations. The role requires experience in code and product development, deep understanding of OS kernels/firmware/embedded components, and experience shipping products. | Ship | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |