Currently tracking 170 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 231 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 (180 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 78 new AI-related roles. That is a -20% change versus the prior 30 days (97 → 78).
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer, Search & Knowledge Platform Staff Machine Learning Engineer at Apple focused on Search and Knowledge Platform, developing next-generation Search and Question Answering systems using LLMs and RAG. Responsibilities include query understanding, retrieval, ranking, fine-tuning, and deploying models at scale, with a focus on production systems and online inference optimization. | ShipPost-train | 8 |
| Video Codec Machine Learning Engineer, Audio & Media Technologies The role focuses on developing next-generation video codecs by applying machine learning, deep learning, neural video compression, generative AI, and computer vision. It involves contributing algorithms to industry standards and collaborating with software and hardware teams. The role emphasizes ML-driven approaches to video coding and processing. |
| Post-train |
| 8 |
| Machine Learning Engineer, Video Search Team Machine Learning Engineer on the Video Search team at Apple, focusing on building and deploying large-scale ML systems for search and discovery across Apple platforms. The role involves applying ML, NLP, and generative AI to model user intent, optimize retrieval and ranking systems, and integrate advanced ML technologies into production features used by millions. Key responsibilities include designing and implementing retrieval/ranking systems, building/deploying LLM models, analyzing performance, and collaborating with cross-functional teams. | AgentServe | 8 |
| Sr. Machine Learning Research Engineer, Siri Speech Machine Learning Research Engineer for Siri Speech team, focusing on creating and productizing ML algorithms for Speech Recognition, Speech Synthesis, and Conversational AI on Apple devices and cloud infrastructure. Requires expertise in compiled languages, ML frameworks, and applied ML, with the ability to translate research into user-facing products. | Post-trainServe | 8 |
| Machine Learning Engineer Machine Learning Engineer at Apple responsible for designing, building, and deploying scalable, production-grade AI/ML systems, with a focus on LLM-powered features and AI agent workflows. This role involves end-to-end solution development, from concept to deployment, including integration into existing systems and continuous improvement of ML infrastructure. | AgentServe | 8 |
| ML Engineer - Automated Evaluation and Adversarial Design ML Engineer focused on building and scaling automated evaluation systems and designing adversarial/stress-testing methodologies for AI-powered features in productivity and creative applications. The role involves assessing AI quality, particularly for multi-turn agentic experiences, and influencing model development decisions through rigorous evaluation. | Eval GateAgent | 8 |
| Senior Applied Scientist - AI Evaluation & Quality Systems Senior Applied Scientist focused on building and scaling AI evaluation and quality systems. The role involves developing methodologies, tooling, and autonomous QA agents to ensure the trustworthiness and quality of AI/ML systems, with a strong emphasis on human-in-the-loop evaluation and anomaly detection. Requires a blend of research and engineering skills to prototype, validate, and ship solutions. | Eval GateAgent | 8 |
| Machine Learning Engineer, Siri Speech Machine Learning Engineer on the Siri Speech team at Apple, focusing on designing, developing, and implementing ML models for speech, NLP, and multimodal applications. This role involves fine-tuning deep learning systems for speaker recognition and multimodal understanding, integrating ML solutions into production at scale, and working with large datasets to build production-quality models. The position requires strong Python skills, experience with ML algorithms and deep learning frameworks like TensorFlow/PyTorch, and knowledge of speech/audio processing. | Post-trainServe | 8 |
| Machine Learning Engineer, Siri Attention & Invocation Machine Learning Engineer for Siri's Attention & Invocation team, focusing on on-device voice invocation experiences. Responsibilities include building and deploying models, end-to-end training and evaluation pipelines, and optimizing speech/audio processing for Apple devices. Requires strong ML/DL background, speech recognition experience, and software engineering skills. | Post-trainServe | 8 |
| AI/ML Software Engineer - SES Gen AI Solutions, IS&T AI/ML Engineer to design, develop, and deploy intelligent solutions for modern contact center platforms, focusing on scalable AI systems for chatbots, voice assistants, speech analytics, and automated customer support workflows. The role involves building end-to-end AI pipelines, including model development, deployment, and optimization, with deep expertise in LLMs, conversational AI, and real-time inference systems. | AgentServe | 8 |
| Wireless Systems AI/ML Engineer, Wireless Technologies & Ecosystems This role focuses on building next-generation AI agents and tools for analyzing wireless connectivity and performance issues in Apple products. It involves developing advanced system evaluation and debugging capabilities using AIML tools, with an emphasis on improving user experience. The role requires expertise in ML frameworks, Gen AI techniques like RAG and Agent Orchestration, and Python scripting, with a strong understanding of wireless protocols. | AgentServe | 8 |
| Video Machine Learning Engineer, Audio & Media Technologies Video Machine Learning Engineer at Apple, focusing on designing, developing, and deploying ML solutions for video processing, understanding, and enhancement. The role involves researching, prototyping, training, evaluating, and optimizing models for on-device deployment across various Apple products. It bridges deep learning research with real-world product impact. | Post-trainServe | 8 |
| Senior Machine Learning Engineering Manager – Ads Predictions This role is for a Senior Machine Learning Engineering Manager at Apple, focusing on Ads Predictions. The manager will lead a team responsible for building and scaling complex ML models for response prediction (CTR, conversion rate) under latency constraints. Key responsibilities include driving the development and deployment of state-of-the-art models, owning the full ML lifecycle from data to production serving, and championing privacy-preserving ML approaches. The role requires strong leadership, cross-functional collaboration, and hands-on experience with large-scale ML systems, including neural networks and LLM-based systems. | ServePost-train | 8 |
| AI/Machine Learning Engineer AI/ML Engineer to build intelligent systems and deploy state-of-the-art AI models and systems across Apple's business groups. Responsibilities include implementing ML infrastructure, developing feature engineering and fine-tuning frameworks, designing ML pipelines, and optimizing models. The role requires designing systems from raw data to autonomous action, implementing RAG pipelines, working with embeddings and vector databases, building AI agents with tool use, and fine-tuning transformer models. Experience with large-scale data and ML frameworks is essential. | AgentData | 8 |
| ML Applied Scientist, Apple Services Engineering AI/ML ML Applied Scientist role focused on designing, developing, and deploying AI/ML solutions for Apple's services, including LLMs and Agentic AI, to enhance user content discovery. The role involves research, prototyping, production deployment, A/B testing, and collaboration with cross-functional teams. | ShipPost-train | 8 |
| AIML - Sr Machine Learning Engineer, Data and ML Innovation Machine Learning Engineer at Apple focused on innovating and applying state-of-the-art ML research to complex data problems, specifically for Apple Intelligence. The role involves designing and developing a data generation and curation framework for foundation models, building evaluation pipelines, and exploring new methods for synthetic data creation across vision, text, and audio. The position also emphasizes collaboration with multidisciplinary teams and potentially publishing research. | DataPost-train | 8 |
| Senior Machine Learning Engineer (Generative AI) Senior Machine Learning Engineer focused on Generative AI, responsible for converting high-level goals into concrete requirements, implementing, evaluating, and shipping AI/ML technologies for data quality or user-facing features. Requires experience in building large-scale ML systems, generative AI models, and working with large datasets, with a strong emphasis on shipping production-ready solutions. | ShipPost-train | 8 |
| Senior Machine Learning Engineer, Search & AI Senior Machine Learning Engineer focused on developing next-generation Search and Question Answering systems using cutting-edge search technologies and large language models. The role involves improving Query Understanding, Retrieval, and Ranking, leveraging fine-tuning, reinforcement learning, embeddings, deep learning, and online learning. Experience with RAG, retrieval, and generative LLMs is crucial. | AgentServe | 8 |
| Machine Learning Engineer - LLM Machine Learning Engineer to build a GenAI system for Apple Audio products, focusing on LLM/LMM development, agents, and RAG applications. Requires experience in ML algorithms, software engineering, and data mining with LLMs/LMMs. | AgentPost-train | 8 |
| AIML - Sr Machine Learning Engineer, Responsible AI This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features, leveraging both human and model-based auto-grading. It also involves researching and developing auto-grading methodology & infrastructure. The role requires creating safety evaluations that uphold Responsible AI values through data sampling, curation, annotation, auto-grading, and analysis. It draws on applied data science, scientific investigation, cross-functional communication, and metrics reporting. | Eval GatePost-train | 8 |
| 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 |
| AI Data Scientist This role focuses on evaluating, optimizing, and analyzing the performance of ML and multi-modal LLMs. The Data Scientist will develop metrics, conduct failure analysis, process data for evaluation, and implement optimization techniques. They will collaborate with cross-functional teams to integrate models and communicate results. The role requires experience with model evaluation, RAG, and LLM prompt evaluation, with preferred experience in multi-modal foundation models and GenAI frameworks. | Eval GatePost-train | 8 |
| 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 |
| Commercial Data Scientist, ANZSA This role focuses on designing and implementing AI-powered analytical solutions for channel sales growth in the ANZSA region. It involves architecting and deploying transformative AI solutions, including ML optimization, LLMs, and agentic systems, leveraging techniques like RLHF and GNNs. The role requires close collaboration with business and engineering teams, productionizing models, and ensuring robust validation and data pipelines. | AgentPost-train | 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 |
| Advanced Manufacturing Engineer(iPhone) - Smart Manufacturing This role focuses on driving manufacturing research and development for iPhone final assembly line automation, integrating AI/ML and LLMs into smart manufacturing processes. The engineer will lead technical automation projects, develop intelligent testing methods, and conduct data/failure analysis to optimize production efficiency and product quality. | Ship | 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 |
| Latin America (ALAC) AIML Data Quality & Governance Scientist This role focuses on building and evolving enterprise knowledge graphs to serve as a foundation for AI agents and analytical tools for sales teams. It involves capturing business knowledge, designing graph schemas, implementing data quality and governance policies, and integrating unstructured data. The role also includes designing retrieval architectures and evaluation pipelines for AI agent consumption of this knowledge. | AgentData | 7 |
| Latin America AIML Data Scientist (Decision Intelligence) This role focuses on developing and deploying ML models and AI agents for sales decision intelligence. It involves building insight pipelines, designing forecasting and anomaly detection models, integrating insights into GenAI tools and agents, and implementing LLM evaluation pipelines. The role requires strong Python, ML, SQL, and LLM skills, with an emphasis on translating business problems into technical solutions and collaborating with various teams. | AgentPost-train | 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 |
| Subject Matter Expert - Automation & AI/ML This role focuses on leading the automation of manufacturing processes, specifically PVD coatings, by integrating robotics, PLCs, and machine learning/AI models for defect detection, predictive maintenance, and yield optimization. It requires a blend of physical automation leadership, digital transformation, and domain expertise in PVD processes and failure analysis. | ServeData | 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 |
| Senior Software Engineer - Siri Agentic Evaluation Platform The role involves building software platforms and tools for evaluating Siri's quality and effectiveness using agentic technology. The primary focus is on creating evaluation platforms that provide feedback signals throughout the software lifecycle, with a secondary focus on the agentic technology itself. | Eval GateAgent | 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 |
| Data Architect, EMEIA Sales Apple is seeking a Data Architect to build a foundational data and AI platform for its EMEIA sales organization. This role focuses on creating a cutting-edge, AI-powered retrieval platform that transforms sales data into actionable insights, serving as the backbone for AI assistants and copilots. It's a hands-on, production-focused data engineering role involving end-to-end feature ownership and operational responsibility. | AgentData | 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 |
