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 |
|---|---|---|
| Engineering Manager, Maps Search Intelligence Engineering Manager for Apple Maps Search Intelligence team, responsible for leading the design, development, and production deployment of core search algorithms, large-scale ML models, and generative AI systems. The role involves defining the technical roadmap, driving execution across the ML lifecycle, and partnering with product and design teams to shape the future of Maps Search and integrate with Apple Intelligence. | AgentServe | 9 |
| Machine Learning Engineer Machine Learning Engineer to design and build GenAI-powered features and workflows leveraging LLMs and modern AI techniques for supply chain optimization. Responsibilities include end-to-end GenAI capability development, prompt and tool design, agent orchestration, retrieval strategies, model selection, system evaluation, Text-to-SQL development, and establishing guardrails. Will also focus on inference and serving in production. |
| AgentServe |
| 9 |
| Applied AI Engineer Applied AI Engineer at Apple Sales, focused on crafting and operating AI solutions using LLMs and agentic workflows for business problems. Responsibilities include designing agentic AI systems, translating research into production, building scalable pipelines, and leading technical decisions on infrastructure and safety mechanisms. Requires PhD or MS with significant experience in applied AI/ML, Python proficiency, and hands-on experience with LLMs, embeddings, vector databases, and agentic workflows. | AgentServe | 9 |
| Senior Engineering Manager, Applied AI & Agentic Experiences Senior Engineering Manager to lead Applied AI experiences for Channel Sales, focusing on intelligent workflows, conversational experiences, and agentic AI capabilities for the end-to-end Commerce Journey. This role involves leading a team, driving product engineering strategy, and shipping ML-powered products and features, ideally involving LLMs and AI agents. | AgentServe | 9 |
| Senior AI Engineer Senior AI Engineer role focused on building and operating LLM-powered applications and agentic AI systems for Apple Sales. Responsibilities include designing, prototyping, and productionizing intelligent agents, retrieval pipelines, and embedded AI features, integrating structured and unstructured data, and leading technical decisions on infrastructure and safety mechanisms. Requires strong Python, LLM, RAG, and agent orchestration framework experience. | Agent | 8 |
| Machine Learning Engineer, ASE 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 in the Apple TV App, Siri, and Spotlight. The role involves applying ML, NLP, and generative AI to model user intent, optimize retrieval and ranking, and enhance search relevance and personalization using cutting-edge technologies and adhering to strict privacy standards. | AgentServe | 8 |
| Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval Staff Machine Learning Engineer for Apple Ads, focusing on building ML-driven signal platforms for retrieval, prediction, and relevance. The role involves developing content understanding systems and large-scale infrastructure for near real-time signal updates, using LLM fine-tuning, knowledge graphs, semantic search, and multimodal learning. The primary output is an agentic system for ad delivery, with a secondary focus on the inference infrastructure supporting it. | AgentServe | 8 |
| Senior Software Engineer - Generative AI & ML, Customer Systems Senior Software Engineer role focused on Generative AI and ML within Apple's Customer Systems IS&T organization. The role involves contributing to model development, fine-tuning, designing retrieval strategies for grounding models, prototyping multi-agent systems, and ensuring scalable deployment. The team builds multi-turn, conversational, agentic applications and frameworks for customer support, enhancing a multi-modal, multi-agent platform with a focus on research to improve latency, cost, and customer experience. | AgentPost-train | 8 |
| AI/ML Engineer (GenAI), G&A Solutions Engineering (GSE) AI/ML Engineer role focused on building a next-generation payments platform using Generative AI, Agentic AI, and LLMs. The role involves modernizing complex product architectures for reconciliation, invoicing, and payments, and transforming transactional data processing. | AgentPost-train | 8 |
| Principal AI Architect, App Store Data Principal AI Architect role focused on designing and shipping AI systems, including agentic workflows and LLM-powered data products, for the App Store. The role involves translating business problems into AI initiatives, guiding AI strategy, designing production-grade AI systems, and ensuring adherence to security and compliance policies. Requires extensive experience with LLMs, agentic workflows, and building/deploying AI/ML solutions in production. | AgentServe | 8 |
| Applied AI Engineer - iCloud Data This role focuses on building and scaling AI-native capabilities within Apple's iCloud data platform. The engineer will design, build, and own end-to-end AI systems, including agents, retrieval mechanisms, evaluation, guardrails, and observability. Key responsibilities involve optimizing AI systems for cost and performance, exploring state-of-the-art AI techniques, and educating the broader organization on AI patterns. The role requires experience in taking LLM or agentic systems from prototype to production, proficiency in modern AI frameworks, and a strong understanding of ML/DL principles. | AgentServe | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
