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 170 active AI roles, down 37% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$487k (avg $235k).
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 |
|---|---|---|
| Senior Engineering Manager - Applied Machine Learning - AiDP Engineering Manager to lead and scale the Search / Information Retrieval team, focusing on building and scaling enterprise platforms that leverage Search & GenAI technologies. The role involves bridging legacy IR with modern GenAI for intelligent information ecosystems, managing inference systems, and ensuring high performance and low latency. | AgentServe | 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 |
| 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 |
| 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 smart manufacturing technologies. The engineer will lead automation projects, leverage AI/ML and LLMs to optimize processes, and develop data-driven methods. Responsibilities include spearheading AI/ML adoption, leading core engineering projects, developing intelligent testing methods, conducting advanced data analysis, and mentoring teams on AI-augmented manufacturing. | Ship | 7 |
| Senior Product Manager The Senior Product Manager will define and deliver AI-powered solutions for live streaming moderation and VOC analytics, owning the product lifecycle and driving execution for AI systems that protect brand integrity and transform customer feedback into actionable business intelligence. This role requires a strong technical understanding of AI, familiarity with APAC social commerce, and the ability to translate business problems into product requirements, working with engineering teams to ship products that balance automation with human oversight. | Ship | 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 |
| 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 |
| 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 |
| 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 |
| Language Engineer (Swedish), Global Siri Language Engineer for Siri in Swedish, focusing on applying ML/NLP and LLMs to improve understanding and speaking of Swedish for Siri products. The role involves end-to-end user experience, data-driven analysis, implementing innovations, and working with LLM prompting and fine-tuning. | Post-trainServe | 7 |
| Language Engineer (Polish), Global Siri Language Engineer for Siri (Polish) responsible for end-to-end user experiences, applying ML and NLP techniques to deliver products, with a focus on developing, training, and fine-tuning LLMs for internationalization challenges in a large-scale consumer product. | Post-trainServe | 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 |
| 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 |
| Quality Engineer - Machine Learning Quality Engineer for Machine Learning in Apple's Creative Music Apps team, focusing on testing ML models and DSP algorithms for audio features on macOS, iOS & iPadOS. Responsibilities include stress-testing for regressions, designing test strategies, developing automated tests, and collaborating with ML engineers on quality metrics. | Eval GatePost-train | 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 |
