Software Engineer role focused on building tools and systems for the automatic evaluation of Apple's AI products, specifically using LLM-as-judge and related technologies to improve the quality and efficiency of these evaluations. The role involves designing and developing frameworks, pipelines, and tools for AI model development, deployment, and measurement, directly impacting product launch decisions.

Software Engineer role focused on developing and delivering AI/ML solutions for Apple's hardware product line, including agentic systems and RAG architectures, with responsibilities spanning training, evaluation, and inference pipelines.

Machine Learning Engineer focused on localizing and scaling LLMs and NLP models for Apple's international customers. The role involves end-to-end model development, including training, experimentation, evaluation, and deployment, with a focus on data-driven quality programs and building tools for software translation.

This role focuses on operationalizing machine learning models for recommendations and personalization systems at Apple. The primary responsibility is building and managing real-time and batch inference pipelines, optimizing system performance, and driving experimentation. The role bridges research and production by developing infrastructure, tooling, and monitoring for shipping ML-driven features. It involves partnering with ML researchers, designing inference services, building data pipelines, developing deployment and evaluation tooling, leading A/B testing, and collaborating on observability and system reliability. While the core is inference (L3), the mention of agents and LLMs in preferred qualifications suggests a secondary focus on agentic systems (L4).

Machine Learning Engineer to join the Ads Relevance and Quality team, responsible for building intelligent systems to evaluate ad relevance, detect low-quality or offensive content, and optimize user satisfaction using applied ML, NLP, and content quality techniques.

Manager for Responsible Development & Safety in Apple Services Engineering, focusing on shaping policies, evaluating AI models and applications, and ensuring safe deployment of user-facing features. The role involves leading a team, collaborating with various cross-functional teams, and developing evaluation processes for AI/ML models.

This role focuses on designing and implementing evaluation frameworks for AI/ML systems, specifically for Apple's consumer-facing products. The Data Scientist will work with large datasets, develop methodologies for assessing product quality, and partner with engineering teams to improve user experience and guide feature development. The role involves building evaluation datasets, human-in-the-loop systems, and translating insights into actionable recommendations.

This role focuses on applying machine learning and computer vision to industrial problems in manufacturing, specifically for inspection equipment. The engineer will develop and deploy ML models to judge millions of units daily, identify patterns and anomalies in data, and build toolkits for applying ML and statistical tools. Responsibilities include data analysis, software development in Python/Java/C++, and working with inspection systems. The role requires strong ML/CV experience in industrial settings, proficiency in Python and ML algorithms, and experience with image processing. It involves developing solutions from inception to production, with a focus on shipping AI-powered products for quality control in manufacturing.

Seeking an experienced AI/ML Security Engineer to design and implement security frameworks for AI/ML pipelines, conduct security assessments, develop automated testing and monitoring, lead incident response, and establish secure MLOps practices. The role also involves strategic business leadership, translating risks, developing roadmaps, and collaborating with cross-functional teams.

Senior Software Engineer focused on building AI-enabled observability solutions for Apple's AI, Search, and Knowledge Platform. The role involves designing and developing user-facing observability features for AIML products and infrastructure, leveraging AI/ML for AIOps, and working with LLMs, ML frameworks, and agentic AI concepts. The position emphasizes building scalable, cloud-native distributed systems and microservices, with a focus on anomaly detection, incident detection, and root-cause analysis within AI observability.

This role focuses on building and scaling cloud-native ML infrastructure, specifically platforms for ML training and inference. It involves designing and implementing agentic workflows, Kubernetes-based control planes, and infrastructure servers to manage these systems at a large scale. The role emphasizes open-source contributions and expertise in Kubernetes and Crossplane.

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.

Internship role focused on software engineering and natural language processing within the Siri & Information Intelligence team at Apple. The intern will collaborate with experts, receive mentorship, and work on developing technologies and experiences for the next generation of Siri products.

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.

Machine Learning Engineer role focused on improving search quality for Apple Maps using Generative AI and LLMs at scale. Requires experience delivering ML-driven products and strong programming skills.

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.

Software Development Engineer - Test role focused on ensuring the quality of on-device machine learning technologies at Apple. The role involves developing infrastructure, automation, and services for validation and qualification, maintaining CI/CD pipelines, and collaborating with various teams across hardware, software, and product development. Experience with ML frameworks is preferred.

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.

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.

This role focuses on optimizing the power efficiency of Apple's cellular modems by analyzing communication protocols, applying SoC power management techniques, and leveraging AI/ML for predictive modeling and optimization. The primary deliverable is improved power performance in the modem's serving infrastructure.

Senior Full-Stack Engineer role at Apple focused on building web and native applications for security platforms. The role involves partnering with users, owning feature development, and applying generative AI to enhance development processes and features, specifically mentioning agentic workflows and LLMs for data analysis.

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.

The Siri Speech Quality Engineering team is seeking a quality engineer to build sound and robust quality strategies for Siri Speech and exceed our customer expectations. You will ultimately be responsible for understanding how well our products work, advocating for critical changes, and representing how they'll be experienced by our customers. This role involves hands-on functional testing of user-facing features and systems for Siri, developing test plans, assessing risk, filing defects, triaging problems, and presenting test reports. Experience in audio testing and user experience testing is required, with a preference for experience using LLMs.

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.

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.

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.

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.