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 |
|---|---|---|
| Senior Software Engineer: Agentic Systems, Instructional Products Senior Software Engineer to design and build intelligent tooling and automation using AI-driven agents to improve engineering productivity and content operations. The role involves prototyping and productionizing systems that leverage agentic coding workflows and AI-driven content processing to streamline development and publishing processes. | Agent | 7 |
| Senior ML Software Engineer, Watch Software Senior ML Software Engineer for Apple Watch, focusing on developing and deploying ML models on-device using multimodal sensor data. The role involves the full ML lifecycle from research to productization, with an emphasis on power-efficient, on-device inference for consumer features. | ServePost-train |
| 7 |
| Senior Manager - AI Data Operations The Senior Manager of AI Data Operations will lead an organization of internal domain experts to build scalable annotation programs that balance accuracy and speed while maintaining quality standards. This role partners with Engineering, Data Science, and Programs to translate evolving system requirements into robust audit pipelines, tooling strategies, and measurable performance lift. Responsibilities include owning end-to-end data annotation and system audit operations, designing quality frameworks, operationalizing auditing for training, evaluation, and red-teaming, driving tooling evolution and automation strategy, and developing data augmentation strategies. | DataEval Gate | 7 |
| Senior Machine Learning Engineer - Ads Auction Senior Machine Learning Engineer at Apple focused on building and optimizing the core auction system for their advertising platform. The role involves applying machine learning and auction theory to drive optimal outcomes for advertisers and users, working with large-scale systems and production code. | Ship | 7 |
| Senior Machine Learning Engineer - Ads Bidding & Pacing Senior Machine Learning Engineer at Apple focused on Ads Bidding & Pacing. The role involves designing and building scalable ML solutions for ad optimization, budget, and bid strategies to improve campaign performance and user experience. Requires experience in ML, quantitative optimization, production code development, and large-scale experimentation, ideally within the ads, recommendations, or search relevance domains. | Ship | 7 |
| Senior Machine Learning Engineer – Ads Predictions Senior Machine Learning Engineer at Apple Ads focusing on building and optimizing core ML models for ad predictions, user interaction, click-through rate, and conversion rate. The role involves deep learning, information retrieval, large-scale modeling, and exploring LLMs and Reinforcement Learning for ad prediction systems across Apple's App Store and News platforms. | ShipServe | 7 |
| AIML - ML Research Scientist, HCMI Research Scientist role focused on developing and deploying ML technologies for understanding, interacting with, evaluating, and generating user interfaces across Apple platforms. The work integrates into various Apple products and services, with a focus on shipping both internal tools and external products. | Ship | 7 |
| Staff Machine Learning Engineer : Platform Intelligence - Apple Maps Staff Machine Learning Engineer for Apple Maps focused on designing, developing, and deploying on-device ML models. This role requires optimizing for performance on Apple platforms, collaborating cross-functionally, and mentoring junior engineers. Experience with ML frameworks, systems programming, and shipping production ML models on mobile/embedded devices is critical. | ServePost-train | 7 |
| Staff Data Science Engineer, Siri Runtime Systems and Interaction Staff Data Science Engineer for Siri's Attention and Invocation team, focusing on making Siri and Apple products more intelligent. The role involves leading ML solution development, establishing best practices for model validation and monitoring, driving technical decisions for ML/AI initiatives, and collaborating with stakeholders to define requirements and shape the data science roadmap. | Ship | 7 |
| Machine Learning Systems Engineer, Siri Runtime Systems and Interaction Machine Learning Systems Engineer for Siri at Apple, focusing on integrating, optimizing, and deploying ML models into production software pipelines for resource-constrained platforms. The role involves building infrastructure for ML evaluation and analysis, collaborating with ML engineers, and ensuring performance and reliability of ML workloads within the Siri ecosystem. | ServeEval Gate | 7 |
| Staff AI Software Engineer, Siri Core Modeling Staff AI Software Engineer for Siri Core Modeling at Apple, focusing on the on-device software platform for Apple Intelligence. The role involves designing and developing features, implementing performant code, identifying architecture changes, optimizing performance, and developing software that interfaces with LLMs and on-device intelligence to enhance Siri capabilities. The position also emphasizes leveraging LLMs and AI assistants for engineering productivity. | Ship | 7 |
| Data Scientist This role focuses on building and scaling automated insight pipelines for the sales organization, developing ML models for opportunity detection and performance diagnosis, and embedding these insights into AI agents, dashboards, and GenAI tools. The role involves end-to-end insight development, including data preparation, statistical analysis, LLM prompt engineering, and deploying ML models for forecasting, anomaly detection, attribution, and causal inference. It also includes building RCA and recommendation engines, analyzing agent interactions, implementing LLM evaluation pipelines, and supporting experimentation. The role requires partnering with AI engineers and PMs, acting as a data translator, influencing upstream data model design, and driving KPI definitions. | AgentEval Gate | 7 |
| Staff Machine Learning Engineer – Ads Platform Staff Machine Learning Engineer for Apple Ads Platform, focusing on building and deploying ML systems and data pipelines to enhance advertiser trust and invalid traffic protections. The role involves defining an innovation roadmap, implementing robust CI/CD, feature stores, and streaming infrastructure, running A/B experiments, and optimizing performance for product quality, user experience, latency, and cost. | Ship | 7 |
| Computer Vision Software Engineer, Camera & Photos Develop and extend software features for iPhone camera, focusing on computer vision, image processing, and machine learning to deliver high-quality photos and videos. This role involves prototyping algorithms, working cross-functionally, and implementing solutions for new camera capabilities across Apple devices. | Ship | 7 |
| Staff Machine Learning Engineer (ML Platform - ML Development) Staff Machine Learning Engineer on the ML Platform team at Apple Ads, responsible for building and scaling shared ML platforms, frameworks, and services. The role focuses on enabling other teams to build and scale ML features, models, and applications, with a deep understanding of the ML lifecycle, deep learning architectures, and experience applying ML at scale in ads or recommender systems. Experience with privacy-preserving ML and AI/ML tooling is preferred. | ServeData | 7 |
| Manager, Machine Learning Engineering Manager for a Machine Learning Engineering team focused on manufacturing applications at Apple. The role involves leading a team of ML and MLOps engineers to build, deploy, and scale AI-driven systems for the product lifecycle, from prototype to announcement. Requires technical expertise in AI, leadership skills, and experience with MLOps, Computer Vision, and scaling ML systems. | Serve | 7 |
| ML Engineering Manager, Gen AI Frameworks Team Engineering Manager to lead a team building foundational ML platforms and frameworks for training, evaluation, and deployment of models across Apple services. Focus on scalability, reliability, and developer experience for ML practitioners. | ServeEval Gate | 7 |
| Data Signals Engineer - Apple Pay Data Signals Engineer for Apple Pay focusing on uncovering and prototyping fraud-deterrent signals within the iOS ecosystem, bridging data science, threat analytics, and mobile engineering. | Data | 7 |
| Applied ML Science Manager The Applied ML Science Manager will lead a team focused on Causal Inference and AIML solutions for Apple's services, impacting business decisions and marketing optimization. The role involves developing and deploying cutting-edge solutions, defining technical vision, and fostering a collaborative team culture. Responsibilities include leading scientists and engineers, overseeing technical strategy, managing projects, and collaborating with cross-functional teams. Requires a Master's degree, leadership experience, and expertise in Causal Inference techniques, ML, and programming languages. | Ship | 7 |
| Sr. Software Engineer, Siri Speech Senior Software Engineer on the Siri Speech team at Apple, focusing on designing and developing next-generation Speech-to-Text APIs. This role involves integrating ML and generative AI capabilities into scalable APIs, collaborating with ML research scientists to productionize speech models, and championing software engineering best practices. | Post-trainServe | 7 |
| AIML - Software Engineer - AI, Evaluation 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. | Eval GateAgent | 7 |
| Software Engineer, Machine Learning & AI 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. | AgentServe | 7 |
| Machine Learning Engineer, International Data Engineering 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. | Post-train | 7 |
| Sr. Machine Learning Engineer – Recommendations & Personalization (Feature Engineering) 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). | ServeAgent | 7 |
| Machine Learning Engineer - Ads Relevance & Quality 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. | Post-train | 7 |
| Applications of ML Engineering Manager 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. | Eval GatePost-train | 7 |
| AIML - Data Scientist, Evaluation 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. | Eval Gate | 7 |
| Industrial Machine Learning Engineer 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. | ShipServe | 7 |
| AIML Security Engineering 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. | Serve | 7 |
| Senior Software Engineer - AI Observability - AI, Search & Knowledge Platform 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. | AgentEval Gate | 7 |
| Sr Software Engineer - AI, Search & Knowledge Platform – Cloud Infrastructure 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. | ServeAgent | 7 |
| 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 |
| AIML - Software Engineering Intern, Siri & Information Intelligence 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. | Post-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 |
| Machine Learning Engineer (Search) 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. | Ship | 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 |
| Capex Predictive Intelligence Product Manager Product Manager role focused on defining and driving a predictive intelligence framework for Capex Equipment Engineering. This role acts as a bridge between business needs and ML engineering, translating domain knowledge into requirements for ML models. It involves defining business requirements, identifying data sources, partnering with ML engineers, and building requirements for extending predictive capabilities as design guidance tools. | Agent | 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 |
| Product Manager, Services Data Science & Analytics Product Manager for Apple Services Data Science & Analytics, focusing on building AI-native data products that turn complex data into answers for stakeholders. The role involves owning product vision, strategy, and roadmap for products that are increasingly AI-native, shaping intelligent and context-aware experiences, and translating stakeholder needs into reliable and useful products. The position emphasizes collaboration with cross-functional teams and shaping the future of AI in analytics. | Ship | 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 |
| Distributed Systems Engineer, Instructional Products This role involves developing backend services and creating data and inference pipelines with large datasets, focusing on enhancing search features using machine learning. It requires expertise in distributed systems, API design, and cloud services, with preferred experience in ML, NLP, and LLM tooling. | AgentData | 5 |
| Product Manager, Music Publishing — Apple TV & Video Product Manager for Apple TV Music Publishing royalty operations, focusing on foundational systems for accurate reporting and payments. The role involves translating business needs into technical requirements, partnering with engineering, and leveraging AI tools for data analysis, prototyping, and process automation. Success requires strong product intuition, analytical skills, and attention to detail in a fast-paced environment. | — | 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 |
