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 |
|---|---|---|
| Principal Research Scientist, Siri Innovation Studio Principal Research Scientist for Siri Innovation Studio at Apple, focusing on incubating and deploying next-generation AI features for Apple Intelligence. The role involves leading end-to-end ML research and development, from ideation to shipping at scale, with a strong emphasis on applied ML, agentic systems, and user-centered design for a wide range of Apple products. Requires a strong publication record and experience with ML model lifecycles. | ShipAgent | 9 |
| Senior Director, Product Management and Marketing, AIML Technologies This role is for a Senior Director of Product Management and Marketing for AIML Technologies at Apple. The individual will set the vision, strategy, and execution for core AI technologies and experiences like Apple Intelligence and Siri, as well as developer and researcher platforms. Responsibilities include owning the strategy, definition, and launch of AI technologies, models, and experiences across the ecosystem, shaping Apple's AI platform strategy, and leading product management and marketing efforts from concept to global launch. The role requires deep expertise in AI, machine learning, and large language models, with a proven track record of executive-level leadership and influencing senior stakeholders. |
| Ship |
| 9 |
| Sr. Applied ML Engineer, Apple Services Localization Engineering This role focuses on designing, building, and shipping machine translation and LLM-based systems for Apple Services Localization. It involves taking models from prototype to production, owning serving, inference, and data pipelines, integrating ML models into existing systems, driving applied research (LLM fine-tuning, model compression, agentic workflows, RAG), and building evaluation infrastructure. The role requires strong software engineering skills and experience with deep learning toolkits, large models, and distributed production systems. | ShipServe | 8 |
| Machine Learning Engineer Machine Learning Engineer at Apple working on Siri, Spotlight, and Safari search features. The role involves large-scale machine learning and deep learning for query understanding and ranking, using techniques like word embeddings, online learning, and NLP. It also includes building infrastructure for processing web-scale data, deploying metrics and evaluations, and presenting results. Experience with RAG is preferred. | ShipAgent | 8 |
| Machine Learning Researcher - Apple Music - Recommender Systems Machine Learning Researcher for Apple Music focusing on recommender systems. The role involves researching, training, fine-tuning, and deploying AI/ML models for recommendation at massive scale, with a focus on connecting artists with music fans and enhancing user discovery. Requires a strong publication record and expertise in modern recommender methods. | ShipPost-train | 8 |
| SWE - Machine Learning Engineer, Photos Machine Learning Engineer for Apple's Photos app, focusing on developing and deploying privacy-preserving ML, deep learning, and generative AI algorithms for Apple Intelligence features. The role involves taking ML algorithms from prototype to production quality, with a focus on LLMs and inference optimization. | ShipPost-train | 8 |
| Computer Vision and Machine Learning Engineer, Creativity Apps This role focuses on building and delivering state-of-the-art machine learning models for creative editing tools, specifically in computer vision and generative AI. The engineer will be responsible for the end-to-end lifecycle of ML-enabled features, from data collection and model design to training, evaluation, and deployment within applications. | Ship | 8 |
| AI Engineering Manager - GenAI Platform , Infra & AIOps AI Engineering Manager to lead planning and execution for next generation AIML Platforms, Infrastructure and AIOps for Channel Sales at scale. Drive vision, roadmap, and execution of innovative AI solutions leveraging generative models. Collaborate with cross-functional teams to develop breakthrough AI products. | ShipServe | 8 |
| Director of Algorithms, Ads Engineering Director of Algorithms for Apple Ads, leading applied scientists and ML engineers to build and scale intelligence for ads delivery. Focuses on retrieval, ranking, auction, and budget optimization systems at massive scale, balancing research innovation with operational excellence and privacy constraints. This role involves defining strategy, roadmap, and execution for ML systems that optimize advertiser outcomes and user relevance. | ShipServe | 8 |
| 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 |
| Senior Computer Vision Machine Learning Engineer, Apple Wallet Senior Computer Vision ML Engineer at Apple, focusing on fraud and identity protection for Apple Wallet using facial recognition and adversarial object detection. The role involves applied research and production deployment of computer vision models. | Ship | 8 |
| Machine Learning Scientist - Personalization Science, Apple Media Products Machine Learning Scientist role focused on personalization for Apple's Media Products, involving research, development, and deployment of large-scale recommender systems for billions of users. The role requires expertise in deep learning, reinforcement learning, and generative AI applied to recommendations, with a strong emphasis on shipping production-quality code and contributing to scientific literature. | Ship | 8 |
| Machine Learning Tools Engineer, Global Siri Machine Learning Tools Engineer for Apple's Global Siri team, focusing on building and improving LLM-powered intelligent assistant systems. The role involves end-to-end ML product engineering, from data generation and model training to deployment and evaluation, with an emphasis on scalable solutions and software engineering best practices. | ShipPost-train | 8 |
| Applied AI Scientist This Applied AI Scientist role at Apple focuses on building and deploying scalable ML and AI solutions to enhance product intelligence and automation, particularly for creative applications like video editing. The role involves end-to-end ML pipeline development, prototyping AI features, and collaborating with engineering and product teams to bring intelligent solutions to production. It requires strong experience in statistical modeling, machine learning algorithms, large-scale data systems, and deploying models into production, with a preference for generative AI, computer vision, and LLM experience. | Ship | 8 |
| Senior Machine Learning Engineering Manager, Ads Quality This role is for a Senior Machine Learning Engineering Manager for Ads Quality at Apple. The primary focus is on leading a team to build and deploy ML models that ensure the quality and integrity of the ad network, with a specific emphasis on using LLMs for relevance, safety, and trustworthiness. The role involves developing and applying advanced ML techniques in a large-scale production environment, working across product, policy, and engineering teams, and analyzing large-scale experiments. | ShipPost-train | 8 |
| Machine Learning Engineer, Computer Vision - Strategic Data Solutions Machine Learning Engineer specializing in Computer Vision for fraud detection within Apple's Strategic Data Solutions team. The role involves building end-to-end solutions, curating datasets, training models, and deploying them into a real-time platform to combat fraud, waste, and abuse. | ShipData | 8 |
| Machine Learning Research Engineer, Generative AI Machine Learning Research Engineer focused on applying generative AI and ML to create innovative user experiences for hundreds of millions of users across Apple platforms. The role involves the full development cycle from ideation to productization, covering areas like handwriting and text recognition, synthesis, document understanding, and freeform drawing generation, with a focus on computer vision, speech recognition, deep learning, and multimodal LLMs. | ShipPost-train | 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 |
| 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 |
| 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 |
| Sr. Machine Learning Engineer The role focuses on enhancing Siri and Apple products using generative AI and LLMs, with a strong emphasis on applied machine learning and software engineering. Key responsibilities include developing and improving generative experiences, creating evaluation techniques for model responses, and contributing to search relevance. The role also involves mentoring and collaborating with various teams. | ShipEval Gate | 8 |
| Machine Learning Research Scientist - Personalization Science, Apple Fitness+ Machine Learning Research Scientist for Apple Fitness+ personalization, focusing on developing and deploying state-of-the-art ML models for recommender systems at a global scale, with an emphasis on research and publication. | Ship | 8 |
| Computer Vision and Machine Learning Engineer, Creativity Apps This role focuses on building and delivering state-of-the-art machine learning models for creative editing tools within Apple's consumer products. Responsibilities include data collection, model architecture design, training custom models, and partnering with cross-functional teams to integrate these features from concept to delivery. The ideal candidate has significant industry experience in computer vision and machine learning, with hands-on experience in building, training, evaluating, and deploying various model types, particularly vision models. | Ship | 8 |
| Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML) Software Engineer focused on building and productizing Generative AI experiences using NLP and ML for Apple platforms. The role involves research, development, and deployment of ML/NLP technologies, with a focus on on-device and private compute cloud applications. | ShipPost-train | 8 |
| Machine Learning Engineer Machine Learning Engineer on the Answers & Knowledge & Information team at Apple, focusing on improving Siri, Spotlight, and Safari search features. This role involves large-scale ML/DL for query understanding and ranking, using word embeddings, deep learning, and online learning on petabytes of data from millions of users. The engineer will design and build infrastructures, perform language and user intent analysis, process web-scale data, and run evaluations. | ShipAgent | 8 |
| 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 |
| 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 Machine Learning Engineer Develop and optimize ML algorithms for local search (query understanding, intent modeling, ranking, semantic search) to improve search quality for Apple Maps. This role involves building ML-driven products at scale, collaborating with infrastructure teams, and mentoring junior engineers. The position sits at the intersection of science and engineering, impacting millions of users globally. | Ship | 7 |
| Senior Machine Learning Engineer, Wallet, Payment & Commerce Senior Machine Learning Engineer for Apple Wallet, Payment & Commerce team, focusing on building end-to-end ML solutions for security, fraud prevention, and operational efficiency. The role involves the full ML lifecycle from data collection and feature engineering to model implementation, evaluation, and performance reporting, with a strong emphasis on privacy-preserving techniques and collaboration with cross-functional teams. | Ship | 7 |
| Machine Learning Engineer - Visual Intelligence Machine Learning Engineer at Apple working on Visual Intelligence features, which combine computer vision, machine learning, and Apple intelligence to enhance user experiences. The role involves building next-generation features, including CV/ML components, sensor fusion, simulation/evaluation pipelines, and backend software. Experience in computer vision, real-time perception, or related fields is required. | Ship | 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 |
| Machine Learning Engineer Machine Learning Engineer to improve search quality for Apple Maps using ML and GenAI at scale, focusing on query understanding, intent modeling, ranking, and semantic search. | Ship | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Sr Machine Learning Engineer, Proactive This role focuses on building and deploying machine learning models to create intelligent search experiences, aiming to improve search relevance, ranking, and user satisfaction within Apple's consumer products. The engineer will be responsible for the end-to-end lifecycle of these models, from research to production. | Ship | 7 |
| Engineering Program Manager, AI/ML, Apple Services Engineering (ASE) Engineering Program Manager for AI/ML and Generative AI features within Apple Media Products. This role involves driving the end-to-end delivery of large-scale, cross-functional ML/GenAI programs, from strategic planning and execution to managing timelines, resources, and cross-functional collaboration. The role requires understanding the full ML lifecycle and mitigating technical challenges to ensure successful product launches. | Ship | 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 |
| Senior Machine Learning Engineer, Search & Knowledge Platforms Senior Machine Learning Engineer at Apple focused on Search & Knowledge Platforms, developing next-generation Search and Question Answering systems for Apple products like Siri and Spotlight. The role involves designing, training, and deploying ML models for search relevance and ranking, leveraging large language models and large-scale data management. | ShipServe | 7 |
| Senior / Staff Software Engineer, Apple Cloud AI Platform Product Engineer for Apple Cloud AI Platform, focused on building end-to-end AI-driven systems and solutions for internal customers, translating real-world AI needs into production-ready platform offerings. This role involves working across the full stack, from data ingestion to model execution and UI integration, influencing platform roadmaps, and driving alignment between product management, partner platforms, and customer teams. | ShipServe | 7 |
| Sr Technical Product Manager, AI & Data Platforms (AiDP) Senior Technical Product Manager for Apple's AI & Data Platforms team, focusing on building and launching GenAI capabilities for enterprise use cases like knowledge discovery, conversational AI, and workflow automation. The role involves defining product strategy, roadmaps, and user experiences, partnering with engineering and data science, and driving product delivery and adoption across Apple's business units. | Ship | 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 |
| 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 |
| 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 |
| Applied Sensing & Health, Embedded Systems Engineer, Sensing & Connectivity Develops software for next-generation fitness, safety, and health experiences by transforming multi-modal sensor data into insights using advanced machine learning and foundation models, impacting millions of Apple Watch, iPhone, and AirPods users. | ShipPost-train | 7 |