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.

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.

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.

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.

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.

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.

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.

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.