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.

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.

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.

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.

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.

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.

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.

Full Stack Engineer to build and enhance a platform for serving and deploying AI/ML models and applications. The role involves owning the platform's user experience, collaborating with various engineering teams, and shaping its future roadmap to support a growing AI/ML ecosystem within Apple.

This role focuses on developing and validating physiological models and algorithms for health technologies, involving study design, data analysis, and visualization. It requires expertise in time-series physiological sensors and Python, with preferred experience in deep learning frameworks.

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.

GPU Compiler Engineer for Apple's graphics, game, and ML software team. Responsibilities include designing language features, compiler optimizations, and developer tools for GPUs across Apple products. The role involves collaborating with hardware and driver teams to maximize performance for graphics, compute, and machine learning applications.

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.

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.

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.

Data scientist for Apple Services Digital Marketing team to analyze consumer feedback, optimize marketing and products, and monitor brand relevancy using statistics, ML, digital marketing data, and NLP.

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.

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.

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.

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.

Seeking a Robotics Automation Engineer to design, build, and deploy advanced robotic automation systems for EMC design and testing. This role involves integrating ML and computer vision, developing robot control software, and collaborating with cross-functional teams to streamline measurement, validation, and data collection workflows.

Product Quality Manager for Beats and Apple accessories, with a focus on evolving into AI-driven quality systems. This role will leverage data, automation, and predictive analytics to proactively identify and mitigate potential failures, ensuring products meet Apple's quality standards throughout their lifecycle. The role involves cross-functional collaboration and requires strong technical, presentation, and organizational skills.

Software Engineer on the Location & Motion team at Apple, responsible for leveraging and extending existing frameworks to support customer-facing features. This role involves creating algorithms that fuse sensor data to extract insights and leveraging large language models to deliver these insights to customers. The engineer will also develop internal UI for visualization and validation, and collaborate with AIML experts.

Senior Machine Learning & Data Scientist role focused on quantitative analysis of high-dimensional data to improve Apple's software and hardware performance. Responsibilities include producing metrics, models, simulations, and tools, applying statistical analysis to product development problems, and writing production-level code. Requires a strong foundation in statistics, machine learning, and software engineering.

Software Development Engineer focused on data architecture and technical compliance for Apple's commerce platforms. The role involves developing scalable data pipelines and storage solutions, ensuring data quality and observability, and enabling downstream use cases like analytics, reporting, insights, and ML model training/evaluation. Experience with Apache Spark, Flink, Kafka, Iceberg, and object-oriented programming is required.

Software Development Engineer role focused on designing and developing software tools for hardware testing and calibration, with a specific emphasis on leveraging ML and LLMs for automated test generation. The role involves C++ development, unit testing, and scripting for test automation within Apple's product introduction process.

Software Engineer role focused on developing technologies for Apple's headphone and accessories ecosystem, involving wireless connectivity, ML, and system engineering across iOS, macOS, and tvOS. Requires proficiency in Objective C/Swift and OS concepts, with preferred experience in embedded systems, AIML system modules, and Multimodal ML.

Software Engineer for Apple's Connected Audio team, focusing on developing innovative technologies for AirPods and accessories. The role involves working across Wireless Connectivity, ML, and System Engineering to create seamless features for iOS, macOS, and tvOS.

This role manages a team responsible for developing and implementing technology solutions for global Order to Cash processes, with a focus on integrating AI/ML capabilities for automation and efficiency. The manager will lead strategy, roadmap development, and delivery of these solutions, ensuring alignment with business strategy and IT architecture, and promoting AI/ML adoption within the team.

Senior Product Manager for Platform & AI Systems (LMS) at Apple, focusing on backend architecture, admin tools, and audience management for a Learning Management System. The role involves defining product strategy, enabling AI-driven features like personalization and recommendation engines, and ensuring scalable, secure system integration of ML models. Requires strong technical understanding of APIs, data models, and system architecture, with experience in Agile environments and integrating ML models into production systems at scale.

This role is for a Technical Data Product Manager at Apple Media Services, focusing on marketing data collection and dataset strategy across various Apple services. The primary responsibility is to own the marketing data roadmap, ensure data privacy and regulatory compliance, and design scalable data strategies. While the role involves identifying opportunities to apply generative AI to marketing data workflows, its core function is data product management and engineering, not direct AI/ML model development.

Software Automation Engineer role focused on enhancing test automation using GenAI and LLMs, with responsibilities including developing test suites, implementing LLM-powered test generation, defect analysis, and integrating automation with CI/CD pipelines. Requires Swift programming, XCTest framework, and hands-on LLM experience in testing workflows.

Software Automation Engineer role focused on enhancing test automation using GenAI and LLMs, with responsibilities including developing test suites, implementing LLM-powered test generation, defect analysis, and integrating automation with CI/CD pipelines. Requires Swift programming, XCTest framework, and hands-on LLM experience in testing workflows.

Software Engineer role focused on building and improving back-end web services and automation tools for Apple's localization systems, supporting global product delivery. Requires experience with ML/LLMs and generative AI tools.

Seeking a Strategy Analyst to support strategic initiatives by conducting research, analyzing data, and providing insights for business growth and operational efficiency. The role involves consolidating regional plans, driving account planning, managing business data, and conducting market research. A key aspect is demonstrating AI literacy, including prompt engineering and leveraging AI tools for data aggregation and analysis to support strategic decision-making.

Engineering Manager for Apple Maps Test Automation team. Lead a team of 9 Software Engineers in Test, focusing on advancing automation infrastructure for accuracy, reliability, and performance. Drive technical strategy, mentor engineers, and champion the integration of generative AI tools into automation systems. Ensure quality and enable faster releases for Apple Maps across all platforms.

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.

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.

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.

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.

This role focuses on enabling Finance teams to transform from manual data preparers to AI-enabled decision partners. The primary responsibility is to guide these teams through a maturity journey, leveraging capabilities from data automation and BI to advanced analytics, machine learning, and AI agent creation within a governed framework. The role involves partnering with Finance leaders, developing roadmaps, leading workshops, co-designing solutions like automated workflows and AI agents, and championing governance and a culture of data-driven decision-making. Key skills include SQL, Python, business analysis, stakeholder management, and understanding of Finance controls and compliance.

Full-stack engineer for App Store Internal Tools team, focusing on app processing and internal tools. Will build frontend and backend systems, including intelligent recommendations and integrating ML models into production applications. Works with Java, Typescript/React, and Scala.

This role focuses on biomedical data science within Apple's Health Technologies team, involving the end-to-end development of health and wellness features for future products. Responsibilities include designing and supporting studies, interpreting findings, defining sensor feasibility, developing analysis tools for physiological time series data, and implementing/validating physiological models and algorithms. The role requires collaboration with multidisciplinary teams and a strong understanding of human physiology and multi-sensor systems. Experience with Python for data analysis and visualization is mandatory, with preferred experience in deep learning frameworks, statistical testing, and distributed processing.

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.

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.

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.

This role is for a Senior Content Curator at Apple Creator Studio, focusing on defining and evolving the visual and editorial future of content across global storefronts. The role involves establishing visual direction, shaping editorial vision, and developing asset strategy, operating at the intersection of creative leadership and scalable systems. It requires anticipating shifts in the visual landscape, translating signals into editorial points of view, and building exceptional photo and video content. The role will also leverage generative AI tools and workflows for asset creation, curation, prompting, and evaluation, while staying current on generative AI trends and ethics.

Senior Software Engineer role at Apple focusing on defining, implementing, and deploying intelligent systems. Requires strong software engineering and machine learning expertise, experience with large-scale distributed systems, cloud platforms, and containerization. The role involves guiding complex projects from concept to adoption and architecting/deploying intelligent systems.

Software Image Quality Integrity Engineer for Creativity Apps at Apple, focusing on photos and video editing tools. Requires expertise in image/video quality evaluation, computational photography, and on-device machine learning, with a strong QA background.