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 |
|---|---|---|
| AIML - Applied ML Engineer, Responsible AI This role focuses on designing, building, and deploying production-grade ML models for abuse detection across multiple modalities (text, image, audio) to protect Apple's ecosystem. It involves owning the full ML lifecycle, driving data strategy, architecting monitoring systems, and collaborating with cross-functional teams to deliver security solutions. | ShipPost-train | 8 |
| 3D Computer Vision Research Engineer, Apple Maps Research Engineer for Apple Maps focusing on 3D computer vision and ML to extract map features from imagery and sensor data. Develops models for visual understanding, scene understanding, and physical-world reasoning, combining ML, 3D geometry, and multimodal data for large-scale mapping problems. |
| Post-trainAgent |
| 7 |
| Perception Algorithm Engineer This role focuses on designing and implementing real-time multi-object tracking systems using deep learning and multimodal estimates for computer vision problems within Apple products. It involves developing evaluation frameworks, curating datasets, and integrating perception systems into a larger software stack, with a strong emphasis on robotics and state-estimation pipelines. | AgentData | 7 |
| AIML - Sr Data Scientist, Evaluation This role focuses on developing and researching evaluation methods to improve the quality of user-facing AI products like Siri and Apple Intelligence. It involves working with large datasets, applying advanced analytical methods including prompt engineering and using LLMs as judges, and partnering with engineering teams to translate methodological developments into production technologies. The goal is to guide product development and decisions through rigorous evaluation and data analysis, ultimately impacting products used by hundreds of millions globally. | Eval GatePost-train | 7 |
| Senior Machine Learning Engineer, Analytics & Data Engineering Senior Machine Learning Engineer focused on building and innovating AI/ML foundations for Apple's services, ensuring security, privacy, and scalability. The role involves researching and developing state-of-the-art AI/ML solutions, designing secure and performant systems, and collaborating with broader teams. Requires strong engineering foundations, experience with distributed systems, and modern AI/ML frameworks. | Serve | 7 |
| Software Development Engineer, Intelligence Platform - Proactive Software Development Engineer role focused on building the on-device intelligence platform for Apple products, powering Generative AI experiences like Apple Intelligence. Responsibilities include developing knowledge serving sub-systems, APIs, and on-device data processing runtime and storage, shipping code that runs on millions of devices. | Serve | 7 |
| Senior Machine Learning Engineer - Ads Relevance & Quality Senior Machine Learning Engineer at Apple Ads focusing on Ads Relevance & Quality. The role involves designing and implementing ML models, particularly NLP and multi-modal models, to evaluate ad relevance, detect inappropriate content, and optimize user satisfaction. It requires experience with Transformer-based architectures, fine-tuning LLMs, and large-scale ML deployment in domains like ad tech or content moderation. | Post-train | 7 |
| Software QA Engineer - Automation, Siri Software QA Engineer focused on automation for Siri, Apple's AI assistant. The role involves ensuring software frameworks and environments are updated for new AI capabilities and hardware platforms, partnering with development teams, and owning automation support. It requires expertise in Python, Bash, or Swift with ML/NLP libraries, developing test plans, and building robust testing frameworks using machine learning models and LLMs. | Ship | 7 |
| Software QA Engineer - Automation, Siri Software QA Engineer focused on automation for Siri, Apple's AI assistant. The role involves ensuring software frameworks and environments are updated for new AI capabilities, partnering with development teams, and owning automation support. Requires expertise in Python, Bash, or Swift with ML/NLP exposure, and experience building test frameworks using ML models and LLMs. | Agent | 7 |
| AIML - Sr Data Scientist, Evaluation This role focuses on developing and implementing evaluation methods for AI/ML products, particularly for search quality and user-facing features like Siri and Apple Intelligence. It involves working with large datasets, applying advanced analytical methods including prompt engineering and using LLMs as judges, and partnering with engineering teams to translate methodological developments into production technologies. The role requires strong data science, ML, and analytics skills, with a focus on experimentation and evaluation. | Eval GatePost-train | 7 |
| Data Scientist, AI/ML Model Quality This role focuses on ensuring the quality of data used for training and evaluating AI/ML models, particularly in Generative AI systems within the Wallet, Payments, and Commerce domains. The Data Scientist will build and maintain intelligent systems, validation frameworks, and monitoring pipelines to ensure data integrity and model trustworthiness. Responsibilities include curating ground-truth datasets, auditing training data for bias, defining data quality metrics, integrating automated checks, and analyzing telemetry for GenAI workflows to identify failure modes and provide recommendations. | Eval GateData | 7 |
| AI & Data Security Engineer This role focuses on securing data throughout the AI lifecycle, including data classification, access control, model deployment, and agentic applications. The engineer will design and enforce security policies, lead red team exercises, and develop security standards for AI products. | Agent | 7 |
| Forward Deployed Engineer This role is for a Forward Deployed Engineer who bridges the gap between Sales teams and the AI-driven insight platform. The engineer will translate business problems into code, build prototypes, operationalize models, and integrate solutions with platform APIs. The role requires strong full-stack engineering skills, familiarity with AI/ML concepts, and the ability to partner with data science and engineering teams. The goal is to influence the platform roadmap and drive self-service adoption. | AgentServe | 7 |
| Machine Learning Engineer - People Analytics Machine Learning Engineer for People Analytics team at Apple, focusing on applying predictive modeling, statistical analysis, and ML techniques to talent management, employee surveys, compensation, and recruiting. The role involves designing, implementing, and operating data-driven solutions in a production environment, with a focus on translating business problems into analytical solutions and monitoring performance. Experience with NLP and network analysis is a plus. | Agent | 7 |
| Senior Privacy Engineer, Intelligence (User Privacy) Senior Privacy Engineer focused on providing privacy guidance for machine learning and generative AI infrastructure at Apple. This role involves reviewing features, auditing products, guiding the roadmap of privacy technologies like differential privacy and private federated learning, and developing privacy-preserving data collection methodologies for AI systems. | DataPost-train | 7 |
| Engineering Leader, Data Engineering Engineering leader to build and lead a data engineering organization responsible for massive-scale data pipelines and services for Apple's Media Services. The role involves architecting systems for an AI-first paradigm, producing ML-ready data, and leading technology modernization programs. | Data | 7 |
| Finance Digital Transformation - Senior Software Engineer Senior Software Engineer role focused on building Generative AI and Machine Learning platforms and services within a Finance organization, emphasizing agentic AI web apps, backend services, and frontend experiences. The role requires strong software engineering practices, CI/CD, testing, logging, monitoring, and adherence to stringent finance governance and regulatory frameworks like SOX. | Agent | 7 |
| Systems Engineer - Evaluation Engineering Systems Engineer focused on building and scaling the infrastructure for an AI Agentic Evaluation Platform. This involves designing distributed execution engines, internal developer platforms, backend APIs, stream processing, and deployment topologies for large-scale agent simulations and LLM-as-a-judge pipelines. The role emphasizes reliability, observability, and guardrails for complex AI systems. | Eval GateAgent | 7 |
| Sr. Software Engineer: Agentic Evaluation This role focuses on building and maintaining the infrastructure, tooling, and pipelines for evaluating Siri, Apple's AI assistant, at scale. The engineer will extend evaluation capabilities to new platforms, support new features, diagnose failures, and contribute to architecture decisions for evaluation systems. Experience with evaluating ML, LLM, or agent-based systems is preferred. | Eval GateAgent | 7 |
| Data Scientist, Apple Pay Marketing (Machine Learning Research) This role focuses on leveraging AI and ML, including LLMs, to build production-grade causal inference pipelines and ML-powered experiment analyses for marketing optimization within Apple Pay. The primary goal is to quantify marketing effectiveness, inform budget allocation, and identify customer response patterns through advanced ML techniques and generative AI tools. | Agent | 7 |
| Automation and Triage Engineer, Siri This role focuses on building and maintaining automated test suites and evaluation frameworks for Siri, ensuring its AI quality and performance across various Apple platforms. It involves investigating complex failures in Siri's AI pipeline, distinguishing regressions, and partnering with engineering and ML teams to define and track quality metrics. The role requires strong software engineering skills, experience with agentic systems and LLM evaluation, and familiarity with on-device AI and conversational systems. | Eval GateAgent | 7 |
| Software Engineering Manager, Siri AI Quality Software Engineering Manager for Siri AI Quality at Apple, leading a team to evaluate and ensure the quality of Siri's AI systems, focusing on user interaction, on-device models, and building automation frameworks. The role involves partnering with ML and engineering teams to define quality strategies, adopt agentic AI systems for test generation, and report on quality metrics for a large-scale consumer product. | AgentEval Gate | 7 |
| Software Engineer, Agentic Workflows Software Engineer role focused on building next-generation developer tooling, services, and workflows for Siri and other AI experiences. The role involves designing, building, and shipping end-to-end software, with a strong emphasis on agentic systems, developer experience, and evaluation infrastructure. It requires experience with generative AI coding tools and a genuine interest in software evaluation and quality. | AgentEval Gate | 7 |
| Full Stack Software Engineer - Camera & Photos Tools & AI Team Full Stack Software Engineer for Apple's Camera & Photos Tools & AI Team. This role involves building internal tools that support imaging engineering and quality workflows. The engineer will design, build, and own end-to-end development of AI-powered features, including LLM integrations, agentic workflows, and vision model pipelines. Responsibilities include evaluating, integrating, and maintaining AI/ML models in production, developing prompt engineering and RAG systems, and contributing to Swift applications, React frontends, and Python backend services. The role requires shipping production software and integrating AI/ML models into systems. | AgentServe | 7 |
| Internationalization Engineering Manager - Intelligence Features Engineering Manager for an International Intelligence Features team at Apple, focusing on leading ML engineers to build and evaluate international features, processes, and tooling using LLMs for localization and internationalization tasks. The role involves hands-on technical leadership, strategic roadmap definition, and managing a team to deliver end-user intelligence features across multiple platforms. | Post-trainServe | 7 |
| International Engineering Lead - Intelligence Features International Engineering Lead for Intelligence Features at Apple, focusing on driving and delivering end-user intelligence features for international locales across multiple platforms. The role involves leading cross-functional teams, assessing feature internationalization, improving evaluation results, advocating for international ML best practices, building tools, and exploring LLMs for localization tasks. It requires experience with ML, LLMs, NLP, and leading international software engineering projects, with a focus on shipping AI-powered features to millions of global customers. | ShipPost-train | 7 |
| Annotation Data Scientist, Evaluation Integrity (Siri) This role focuses on designing and managing human-in-the-loop (HITL) annotation tasks to evaluate agentic systems, specifically for Siri. The primary goal is to create a trusted quality signal by turning human judgment into a rigorous, reproducible metric. Responsibilities include designing annotation tasks, authoring guidelines, managing annotation programs, developing custom tooling, applying data science to analyze human-labeled data, and contributing to overall evaluation health reporting. The role sits at the intersection of data science, human annotation engineering, and evaluation methodology. | Eval GateAgent | 7 |
| Machine Learning Engineer, Apple Services Engineering Machine Learning Engineer at Apple Services Engineering focused on designing, building, and deploying machine learning pipelines for personalization systems across Apple's media offerings. The role involves scaling recommender systems for billions of users, optimizing model inference, and implementing evaluation frameworks. Requires strong software engineering fundamentals and experience with large-scale ML models and big data technologies. | ShipServe | 7 |
| Senior Software Engineer - Routing Intelligence
Senior Software Engineer for Apple Maps Routing Engine team. Focuses on applying machine learning to improve route selection, personalization, and reasoning about the physical world for navigation across driving, walking, cycling, and transit. Involves core routing engine components like pathfinding and route ranking, and potentially inference infrastructure. | AgentServe | 7 |
| Sr Technical Product Manager, AI & Data Platforms (AiDP) Sr. Technical Product Manager for Apple's AI & Data Platforms team, focusing on building and managing GenAI capabilities for enterprise business units. The role involves defining product strategy, roadmaps, and user experiences for GenAI inferences, knowledge discovery, conversational AI, and workflow automation, working closely with engineering, data science, and business stakeholders to drive adoption and measure success. | Ship | 7 |
| Machine Learning Engineer Machine Learning Engineer for iCloud Mail team at Apple, focusing on building end-to-end ML-based product solutions to improve user experiences, anti-abuse, and customized mail features. Requires strong production experience in training and evaluating ML models, building scalable services, and working with big data technologies like Spark. | ShipServe | 7 |
| Machine Learning Engineer - iCloud Anti-Abuse Machine Learning Engineer for iCloud Anti-Abuse team at Apple, focusing on building and deploying ML models for abuse detection (spam, phishing) at massive scale. The role involves the full ML lifecycle from data pipelines and feature engineering to model training, low-latency inference, and monitoring within distributed systems. | ServeData | 7 |
| Finance Digital Transformation - Senior Machine Learning Engineer Senior Machine Learning Engineer in Finance at Apple, focused on building and extending AI/ML platforms and services for finance organizations. The role involves developing infrastructure for generative AI, agentic workflows, and ML inference, with a strong emphasis on MLOps, observability, and compliance within Finance governance frameworks. | AgentServe | 7 |
| Senior Search Machine Learning Engineer Senior Machine Learning Engineer for Apple Maps, focusing on improving search quality using ML and Generative AI. The role involves developing algorithms for query understanding, intent modeling, ranking, and semantic search, as well as building data pipelines and collaborating with other teams. Experience with LLMs, prompt engineering, and fine-tuning is required, along with strong programming and ML framework knowledge. | Ship | 7 |
| Finance Data Scientist - Enablement This role focuses on enabling Finance teams to transform from manual data preparers to AI-enabled decision partners. The Finance Data Scientist will guide teams through a maturity journey from automation to AI and predictive models, empowering them to leverage capabilities like data automation, BI, advanced analytics, ML, and AI agent creation within a governed framework. Responsibilities include partnering with leaders, developing roadmaps, educating teams on concepts like prompt engineering and agentic AI design, collaborating on solutions like automated workflows and finance-specific AI agents, and championing governance and AI frameworks. | AgentData | 7 |
| Software Engineer - Intelligent Engineering Workflows Software Engineer to design and build intelligent tooling, automation, and AI-powered workflows using AI agents to improve engineering productivity and software quality across Apple's media technology stack. This role involves prototyping and productizing systems that leverage agentic coding workflows, AI-driven code analysis, and automation pipelines to streamline development processes, accelerate issue resolution, and enhance code quality at scale. | Agent | 7 |
| Sr./Staff ML Infrastructure Engineer, Compute (TPU Scheduling) - Foundation Model This role focuses on designing and developing scheduling and orchestration systems for large-scale TPU workloads in multi-region clusters, supporting foundation model training and inference. It involves distributed systems, cluster management, and performance optimization. | Serve | 7 |
| Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos Develop and train deep learning models for image restoration and fusion applications to improve Apple's camera imaging pipeline, contributing to consumer products. | Ship | 7 |
| Software Engineering Manager, Wallet Identity Engineering Manager for Wallet Identity Services at Apple, focusing on leading a team that builds and operates ML-powered services for liveness detection, face matching, and image quality. The role involves full lifecycle ownership of these services, from architecture and development to deployment and monitoring, with a strong emphasis on MLOps and scaling ML models in production. | ServePost-train | 7 |
| Sr Engineering Program Manager, AI/ML Technical Program Manager to help shape the future of scalable machine learning infrastructure. Lead planning, execution, and cross-functional coordination across engineering teams to deliver robust, high-performance ML systems that operate across Apple’s cloud and distributed environments. Define and run processes that ensure the timely delivery of GPU, compute, and data infrastructure components that support large-scale ML workloads. | ServeData | 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 leading design and development of features, implementing performant code, identifying architectural 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. | Agent | 7 |
| Location Estimation Scientist, Sensing & Connectivity This role focuses on building and maintaining production-grade software systems and ML models for location intelligence using sensor data. It involves the full ML lifecycle from problem formulation to production deployment, with a strong emphasis on signal processing, data infrastructure, and scaling ML to hundreds of millions of devices. | Serve | 7 |
| Engineering Program Manager, Search Quality and Infrastructure, Apple Services Engineering Engineering Program Manager to drive the execution of large-scale, machine learning-powered search products and infrastructure at Apple, focusing on improving user experience and quality for over a billion customers. | Ship | 7 |
| Engineering Project Manager - AI Features Internationalization, L&RE Engineering Project Manager responsible for the internationalization and global launch of AI-driven products, including Apple Intelligence. This role involves leading technical integration of generative AI and ML features across multiple languages and countries, managing international data generation, and driving model evaluation strategy for audio, vision, and language models. | Post-trainData | 7 |
| Tech Lead Machine Learning Engineer - Finance Digital Transformation Tech Lead Machine Learning Engineer for Finance Digital Transformation at Apple. The role focuses on building data foundations, services, and platforms for insights and automated decisions within the Finance organization, specifically for product cost. Responsibilities include technical leadership, operationalizing AI solutions from prototype to production, and instilling ML engineering practices. Requires experience in ML algorithms, generative AI, agentic solutions, MLOps/LLMOps, data pipelines, and Python. | AgentServe | 7 |
| Senior Apps Applied Scientist This role focuses on designing, developing, and implementing sophisticated machine learning and AI models for creative applications, particularly image editing apps. It involves building end-to-end ML pipelines, prototyping AI features, developing AI tools, and deploying models into production. The role requires strong Python programming, experience with large-scale data, causal inference, LLM fine-tuning, RAG, and AI framework development. | Post-trainServe | 7 |
| Senior Machine Learning Manager, Answers, Search & Knowledge Platforms This role manages a team focused on enhancing Siri and Apple products by advancing real-time augmented information retrieval and generation, knowledge graph engineering, and LLM-powered answer generation for user knowledge questions. It involves E2E knowledge graph construction, serving, and understanding user intent to deliver knowledge-driven user experiences. | AgentServe | 7 |
| Machine Learning Research Engineer, Camera & Photos Machine Learning Research Engineer focused on image processing pipelines and innovative algorithms for Apple's mobile devices (iPhone, iPad). The role involves leveraging research in image processing, statistics, and computer vision to design, develop, and improve imaging technologies, turning concepts into commercially viable algorithms for Apple's camera systems. | Ship | 7 |
| Machine Learning (MLOps) Engineer MLOps Engineer role focused on building and optimizing ML infrastructure, ensuring reliability, scalability, and continuous improvement of AI/ML systems in production. Responsibilities include end-to-end quality initiatives, automated pipelines for training, evaluation, deployment, and championing model observability and governance. | ServeEval Gate | 7 |
| ML Engineer - Evaluation Analysis, Metric and Data Strategy ML Engineer focused on defining and analyzing quality metrics for AI-powered features in consumer productivity and creative applications. This role is critical for informing model development, feature launches, and product strategy by translating evaluation data and user behavior into actionable insights. It involves designing metrics frameworks, auditing data representativeness, and developing evaluation methods for complex, agentic AI experiences. | Eval GateAgent | 7 |
