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 |
|---|---|---|
| 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 |
| Perception Systems Software Engineer, Audio & Media Technologies Seeking a Perception Systems Software Engineer to develop a secure software architecture for multi-modal awareness on Apple platforms, involving real-time algorithms for various sensors and integration with system components for future Apple products. |
| Agent |
| 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 |
| Cellular Software Enablement Engineer, Wireless Technologies & Ecosystems This role focuses on building AI systems and algorithms to automate crash debugging and root-cause analysis for firmware boot failures in cellular modem chips. The engineer will develop AI-powered engineering tools, LLM APIs, AI agents, and automated workflows, leveraging AI for intelligent automation in silicon bring-up and validation. | AgentData | 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 |
| Conversational Designer This role focuses on designing and optimizing conversational AI experiences for Apple's online store, aiming to enhance customer engagement and satisfaction. The designer will lead the conceptualization and implementation of chatbot conversations, leveraging technologies like RAG and AI QA tools, and ensuring brand voice consistency. The role requires a blend of creativity, strategic thinking, and technical understanding of how AI models retrieve information and generate responses. | Agent | 7 |
| Financial Data Analyst This role focuses on applying Generative AI and machine learning techniques to financial planning and analysis (FP&A) within the APAC region. The analyst will own core FP&A responsibilities, build intelligent data products to transform financial workflows, and leverage LLMs/GenAI frameworks for finance use cases. The role requires strong data fluency, experience with modern data science tools, and the ability to work with incomplete data to generate insights. | Agent | 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 |
| Subject Matter Expert - Automation & AI/ML This role focuses on developing and implementing next-generation automated processes for cosmetic and protective finishes (PVD coatings, Ink Printing) in high-volume manufacturing. It involves both physical automation (robotics, PLCs) and digital automation, including machine vision and deploying ML/AI models for predictive maintenance, defect detection, and process optimization. The role requires integrating automation parameters with materials chemistry and collaborating with cross-functional teams. | AgentServe | 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 |
| Solutions Lead, AI & Data Platforms This role is for an AI Solutions Lead responsible for designing and driving the delivery of enterprise-scale Generative AI and Data Platform solutions within Apple's enterprise. The role involves close collaboration with business stakeholders, hands-on prototyping, and guiding teams through execution to deliver impactful AI solutions. | Agent | 7 |
| Machine Learning Engineer- Gen AI Machine Learning Engineer focused on GenAI applications, delivering projects end-to-end from conceptualization to deployment. The role involves statistical analysis, business intelligence solutions, and presentations to executives. It requires experience with LLMs/LMMs, agents, agentic workflows, and RAG applications. | AgentPost-train | 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 |
| Tech Lead Machine Learning Engineer - Finance Tech Lead Machine Learning Engineer for Finance at Apple, focusing on building and operationalizing AI solutions for product cost analysis and decision automation. The role involves leading engineers, collaborating cross-functionally, and bridging the gap between ML prototypes and production systems within the Finance organization. Requires experience in ML algorithms, generative AI, agentic solutions, MLOps, and scalable data pipelines. | 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 Product Data Scientist in Causal Inference and ML, App Store Senior Product Data Scientist role focused on driving data-driven strategy and delivering ML and experimentation solutions for Apple's App Store. The role involves applying advanced ML causal inference techniques, developing and deploying ML models for customer insights, and leveraging LLMs/GenAI tools. It requires strong expertise in causal inference, experimentation frameworks, and influencing cross-functional roadmaps. | Agent | 7 |
| Sr. Software Architect, Siri Attention and Invocation Senior Software Architect for Siri Attention and Invocation team, focusing on designing and implementing software systems for natural and conversational interactions with virtual assistants using AI/ML technologies, including LLMs and conversational AI. The role involves architecting ML-driven user experiences, integrating with sensory and system software, and optimizing on-device runtime performance. | Agent | 7 |
| Software Engineer (Security) - AI & Data Platforms (AiDP) Software Engineer focused on building and managing internal security services that leverage AI technologies to identify and remediate security risks within the software development lifecycle. The role involves assessing AI-specific security risks and implementing controls, with a preference for experience in LLM-powered solutions. | Agent | 7 |
| Marcom Creative Technologist This role is for a Creative Technologist in Apple's Marcom team, focusing on R&D and prototyping of innovative experiences using emerging technologies like generative AI, LLMs, diffusion models, and agents. The role involves coding, research, experimentation, and collaboration to integrate these technologies into internal workflows and customer-facing experiences. | AgentData | 7 |
| CI Systems Engineer (AI Failure Analysis), Developer Workflows This role focuses on building AI-assisted systems to analyze CI build and test failures, transforming raw data into actionable insights for OS engineers. The engineer will design and implement AI-powered workflows for failure summarization, pattern identification, and distinguishing signal from noise, integrating AI capabilities into developer tools to accelerate the software development process. | Agent | 7 |
| Product Manager — Generative AI, Ai & Data Platforms (AiDP) Product Manager for Generative AI within Apple's Ai & Data Platforms team, focusing on building and scaling GenAI capabilities for enterprise use cases like knowledge discovery, conversational AI, and workflow automation. The role involves defining product strategy, working closely with engineering and data science, and ensuring AI is trustworthy, governable, and reliable at scale. Requires a technical background, ability to prototype, and experience shipping AI/ML products. | Agent | 7 |
| AI Product Development Lead This role leads the product engineering and building efforts for AI-driven tools within a legal tech ecosystem, focusing on rapid development, prototyping, and delivering legal-contextualized AI applications and features embedded into existing legal workflows. The role involves managing a team, building upon internal AI platforms, and bridging the gap between AI capabilities and business needs. | AgentServe | 7 |
| Machine Learning Engineer — Trust and Safety (Account Trust) Machine Learning Engineer focused on Trust and Safety for communication apps, protecting against spam and abuse. The role involves building ML tooling for the entire ML lifecycle, from data ETL and model training to evaluation and deployment, with a strong emphasis on anti-fraud and anomaly detection, particularly in the context of LLMs. The goal is to deliver reusable tooling and integrate with existing systems to enhance customer safety and mitigate attack vectors. | AgentData | 7 |
| AI Solutions Consultant – Innovation Lab This role is for an AI Solutions Engineer in Apple's Innovation Lab, focusing on helping enterprise customers build applications on Apple platforms using AI and Spatial Computing. The role involves consulting, architecting, building demonstrations, and evangelizing best practices for AI-powered enterprise applications. Requires expertise in LLMs, RAG, traditional ML, and Apple platform development. | Agent | 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 |
| Swift LLM API Engineer, Swift Platform Experience This role focuses on building APIs for AI models within Apple's Swift Frameworks team. The engineer will implement features, design APIs, and be involved in the full development lifecycle from research to testing and documentation. Collaboration with ML researchers and systems engineers is key. | 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 |
| Data Scientist This role focuses on building and scaling automated insight pipelines for the sales organization, developing ML models for opportunity detection and performance diagnosis, and embedding these insights into AI agents, dashboards, and GenAI tools. The role involves end-to-end insight development, including data preparation, statistical analysis, LLM prompt engineering, and deploying ML models for forecasting, anomaly detection, attribution, and causal inference. It also includes building RCA and recommendation engines, analyzing agent interactions, implementing LLM evaluation pipelines, and supporting experimentation. The role requires partnering with AI engineers and PMs, acting as a data translator, influencing upstream data model design, and driving KPI definitions. | AgentEval Gate | 7 |
| Software Engineer, Machine Learning & AI Software Engineer role focused on developing and delivering AI/ML solutions for Apple's hardware product line, including agentic systems and RAG architectures, with responsibilities spanning training, evaluation, and inference pipelines. | AgentServe | 7 |
| Senior Software Engineer - AI Observability - AI, Search & Knowledge Platform Senior Software Engineer focused on building AI-enabled observability solutions for Apple's AI, Search, and Knowledge Platform. The role involves designing and developing user-facing observability features for AIML products and infrastructure, leveraging AI/ML for AIOps, and working with LLMs, ML frameworks, and agentic AI concepts. The position emphasizes building scalable, cloud-native distributed systems and microservices, with a focus on anomaly detection, incident detection, and root-cause analysis within AI observability. | AgentEval Gate | 7 |
| 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 |