Currently tracking 171 active AI roles, down 37% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$487k (avg $235k).
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.
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 |
|---|---|---|
| Siri, Eval Architect Engineer The role focuses on defining the architecture for systems that measure Siri's quality across platforms and model updates. It involves building evaluation infrastructure for large-scale automation, simulation, AI-powered auto-evaluators, and agentic fix pipelines. The Eval Systems Architect will own the technical vision and system architecture for Siri's evaluation stack, ensuring coherence, scalability, and trustworthiness, and will influence the technical roadmap for the evaluation platform. | Eval GateAgent | 7 |
| Video Machine Learning Engineer, Audio & Media Technologies Video Machine Learning Engineer at Apple, focusing on developing and integrating ML/DL solutions for video coding and processing in Apple products. Responsibilities include designing, training, optimizing, and integrating neural networks, as well as enhancing user experiences in video communication. Requires a Master's degree or equivalent experience in EE/CS, digital video processing, modern video codecs, and neural network design/optimization. |
| Post-train |
| 7 |
| On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games & ML This role focuses on building and maintaining the Core ML Runtime for on-device execution of ML models on Apple products. The engineer will work on the ML graph compiler, runtime, and kernels, optimizing model execution for performance, energy efficiency, and thermal management. The role involves developing production-critical system software for implementing ML models on Apple Silicon, with a focus on common compiler optimizations and runtime systems. | Serve | 7 |
| Computer Vision Software Engineer — Camera Technologies & Systems Develop and ship computer vision, image processing, and machine learning software features for Apple's camera technologies, impacting millions of iPhone users. | Ship | 7 |
| Software Engineer, Siri Attention And Invocation Software Engineer for Apple's Siri team, focusing on improving speech recognition, natural language understanding, and dialogue management through advanced statistical techniques and core machine learning algorithms. The role involves end-to-end feature development, collaboration with cross-functional teams, and shipping user-facing features to millions of users. | Post-trainAgent | 7 |
| Americas Business Process Re-Engineering Data Engineer Data Engineer role focused on building and maintaining scalable data infrastructure for analytics, machine learning, and AI-driven decision-making within Operations. The role involves designing data pipelines, building data models, implementing data observability, and collaborating with data science and ML engineering teams. It also emphasizes leveraging AI-assisted tools for development and researching emerging GenAI data tooling. | DataAgent | 7 |
| Applied Scientist Applied Scientist role at Apple focusing on causal inference, statistics, and machine learning to optimize marketing channels for consumer services. The role involves designing, developing, and deploying solutions using observational testing, counterfactual modeling, and lifetime value estimation, working with large-scale, privacy-focused datasets. Key responsibilities include engineering end-to-end causal inference products, analyzing data for automation and modeling opportunities, collaborating with cross-functional teams, and staying updated on research advancements. | Ship | 7 |
| Machine Learning Engineer, Strategic Data Solutions (Fulfillment, Supply Chain, Logistics domain exp) Machine Learning Engineer role focused on applying ML and optimization to supply chain and logistics problems for Apple's Fulfillment Operations team. The role involves designing, building, deploying, and maintaining end-to-end data pipelines and models to improve operational efficiency and security, with a focus on productionizing and owning the stack. | Ship | 7 |
| On-Device ML Infrastructure Engineer, ML User Experience, APIs & Integration, Graphics, Games & ML This role focuses on building the ML infrastructure and developer experience for running ML models on Apple devices. It involves developing APIs for ML model conversion and authoring, optimizing models for efficiency and performance, and integrating ML tools into repositories. The goal is to enable efficient ingestion and implementation of models within Apple's ML stack, impacting various core experiences like Camera, Siri, and Health. | Serve | 7 |
| On-Device ML Compiler Engineer, Model Compilation, Graphics, Games & ML This role focuses on building and optimizing ML compilers and runtimes for on-device execution across Apple's diverse hardware (Neural Engine, GPU, CPU). It involves working with MLIR-based compiler stacks to improve runtime performance and enable efficient execution of ML models on Apple devices, impacting core experiences like Camera, Siri, and Health. | Serve | 7 |
| On-device ML Infrastructure Engineer, Compiler & Runtime, Graphics, Games & ML Seeking an experienced ML Infrastructure Engineer to build and optimize the execution engine and compilation toolchain for on-device ML models on Apple products. This role focuses on creating efficient, portable, and extensible runtimes and compilers, connecting compiler technology, runtime components, kernel libraries, and hardware compilers to enable ML execution across various devices. | Serve | 7 |
| On-device ML Integration Engineer, Graphics, Games & ML This role focuses on integrating ML models into Apple's on-device inference stack, optimizing performance, and ensuring functionality across various Apple devices. It involves working with ML frameworks, compilers, and hardware targets to enable efficient and private AI experiences. | Serve | 7 |
| Senior Machine Learning Engineer – Ads Predictions Senior Machine Learning Engineer to join the Predictions group, focusing on building core ML models for ad predictions and monetization across Apple's App Store and News platforms. The role involves designing and implementing ML models for user interaction, CTR, and CVR prediction, developing retrieval algorithms, and contributing to modeling areas like deep neural networks, contextual bandits, multi-task learning, and LLM-based ranking signals. It also requires working with large-scale datasets, collaborating with cross-functional teams, and running experiments. Experience with ad tech, recommender systems, or web-scale search/retrieval is preferred, along with deep expertise in neural network architectures and training pipelines. | AgentServe | 7 |
| AIML - Machine Learning Engineer - Computer Vision & Audio, MIND Machine Learning Engineer focused on the data and evaluation lifecycle for production models in computer vision and audio. Responsibilities include scaling data pipelines, ensuring data quality, performing failure analysis, implementing data augmentation, and designing evaluation metrics for models. The role bridges hardware, software, and modeling for efficient inference. | Eval GateData | 7 |
| Sr Software Engineer (Agentic AI), AI & Data Platforms This role focuses on building the backbone of an AI-powered developer platform that uses AI agents and autonomous workflows to support app development within Apple. The engineer will design and maintain backend services and orchestration systems for multi-agent AI workflows, integrate LLMs into developer tools, and work on cloud deployments and MLOps. | Agent | 7 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Program Manager, Program Management Office (PMO), Apple Services Engineering (ASE) Program Manager for Apple Services Engineering (ASE) PMO, focusing on driving program delivery excellence. This role will identify, evaluate, and champion AI-powered tools and workflows to improve planning, documentation, and delivery processes. The PM will act as a change agent for AI fluency, helping teams integrate AI into daily program work and translate AI capabilities into practical standards and LLM-based tool adoption. | — | 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 |
| Lyrics Program Manager, AIML & Tooling Program Manager for Apple Music's Lyrics Operations, focusing on end-to-end delivery of Machine Learning and Tooling initiatives to improve the lyrics experience for millions of subscribers. The role involves managing complex projects, bridging engineering and operations, and ensuring global alignment. | Ship | 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 |
