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 |
|---|---|---|
| AIML - Machine Learning Researcher, MLR This role is for a mid-level to senior Machine Learning Researcher focused on ambitious, curiosity-driven, long-term foundational research projects. The researcher will push the boundaries of ML, publish in top-tier venues, and collaborate with ML engineers and researchers to impact future Apple products. Requires demonstrated expertise, a publication record, and hands-on experience with deep learning toolkits like PyTorch. | Pretrain | 10 |
| AIML - Machine Learning Researcher, MLR Seeking junior and mid-level researchers for foundational ML research impacting Apple products. Role involves self-directed and collaborative research, publishing results, and providing technical mentorship. Requires expertise in ML research topics like RL, LLM training/adaptation, reasoning, diffusion models, audio, and multimodal models, with a strong publication record and deep learning toolkit experience. |
| Pretrain |
| 10 |
| AIML - Machine Learning Researcher, MLR This role is for a mid-level to senior Machine Learning Researcher focused on foundational, long-term research projects that will impact future Apple products. The researcher will push the boundaries of ML research, publish in top-tier venues, and collaborate with other researchers and engineers. A PhD or equivalent experience and a strong publication record are required. | Pretrain | 10 |
| Machine Learning Engineer, SIML Machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. Focus on training and adapting large scale image/video/audio/multimodal foundation models, staying at the forefront of AI research, and pioneering proprietary ideas for Apple's ecosystem. Experience with training and fine-tuning modern image/video generation models is required. | Post-trainPretrain | 9 |
| 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 |
| AIML - Machine Learning Researcher - MLR Research Scientist role focused on advancing ML technology, particularly in introspection, robustness, and next-generation architectures. The role involves defining research agendas, implementing innovative ML approaches, running large-scale experiments, publishing work, and collaborating with engineering teams to integrate research into products. Requires expertise in ML/DL, transformers/diffusion/SSM, deep learning frameworks, and a strong publication record. | Pretrain | 9 |
| AIML - Machine Learning Researcher, MLR Research scientist role focused on foundational ML research in LLMs, generative models, and agentic systems, with a requirement for publication in top-tier conferences. The role involves proposing and executing research plans, implementing experiments, and collaborating with ML engineers and researchers. | PretrainAgent | 9 |
| Senior Applied Researcher Senior Applied Researcher with expertise in Generative AI, LLM architectures, and advanced NLP systems. The role involves architecting, designing, and deploying LLM-powered systems for personalization, automation, and customer understanding across Apple Services. Responsibilities include research in representation learning, semantic modeling, NLU, RAG, fine-tuning, evaluation, safety alignment, and exploring methods like parameter-efficient adaptation, multi-agent orchestration, and RLHF. The role also involves building prototypes and production-grade solutions, contributing to patents/publications, and mentoring other researchers. Requires a Ph.D. or equivalent experience, expert knowledge of deep learning/NLP/transformers, LLM development, Python, and ML frameworks, with experience deploying models in production. | AgentPost-train | 9 |
| Sr. Machine Learning Research Engineer, Siri Speech This role focuses on advancing Siri's conversational AI capabilities by developing and deploying novel deep learning technologies for efficient speech and multi-modal modeling. The primary goal is to improve Siri's intelligence, naturalness, and usefulness, with a strong emphasis on efficient model deployment on servers and devices, minimizing latency, and preserving privacy. The role involves research and development with a track record of publications or product application in efficient deep learning. | Post-trainServe | 9 |
| SWE Intern - Machine Learning Engineer, Language Models Internship role focused on building large language models (LLMs) and generative models, including pretraining, LLM architecture, and scientific scaling. The role involves developing algorithms and systems for deep learning research and applying them to Apple products, with opportunities in text, image, speech, and video modalities. | Pretrain | 9 |
| AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety The role focuses on applied research in responsible AI and safety for foundation models, including training, evaluation, alignment, and mitigations for deployment in Apple products. It involves collaboration with researchers and engineers to develop and deliver AI technologies that uphold Apple's values and privacy standards. | Post-trainAgent | 9 |
| Machine Learning Engineer — Camera & Photos, Creative Foundations Machine Learning Engineer and Researcher to join the Creative Foundations team within Camera & Photos. This role involves inventing novel ML models at the intersection of research and product features, focusing on image understanding for consumer-facing applications. Responsibilities include designing architectures, training strategies, and intelligent systems, translating research into shippable features, and leveraging interpretability techniques. Requires MS/PhD, experience in ML/computer vision, proficiency in ML frameworks, and understanding of modern ML architectures. Preferred qualifications include a track record of creative problem-solving, published research, and specific computer vision experience. | Post-trainServe | 9 |
| Camera Software- Sr. Machine Learning Research Engineer Research Engineer role focused on developing and fine-tuning generative models for Apple's camera software, specifically for computational photography applications on iPhone and iPad. The role involves designing model architectures, training strategies, building data pipelines, and developing evaluation frameworks, with a strong emphasis on vision and image generation. | Post-trainData | 9 |
| Machine Learning Research Engineer, Siri Speech This role focuses on evaluating, analyzing, and improving state-of-the-art end-to-end speech models for Siri. The engineer will design and implement novel evaluation frameworks, develop tools to measure model performance, analyze model behavior, and explore innovative approaches to advance speech capabilities. The role also involves building automated processes for large-scale model evaluation and analysis, collaborating with cross-functional teams. | Eval GatePost-train | 9 |
| Research Scientist, Applied Machine Learning Security (Agent Systems), SEAR Staff-level ML Security Research Scientist focused on applied research for production agentic ML systems, particularly tool-using models. The role involves leading research to identify and mitigate security vulnerabilities in these systems, designing realistic adversarial evaluations, and driving defenses into shipping products. The emphasis is on production impact and risk reduction, bridging research, platform engineering, and product security. | Agent | 9 |
| AIML - Machine Learning Researcher, MLR Apple is seeking a Machine Learning Researcher to conduct foundational research in LLMs and generative models, focusing on long-term, curiosity-driven projects. The role involves defining and executing research plans, implementing experiments, and publishing results in top-tier scientific venues. Collaboration with ML engineers and researchers across Apple is expected, with opportunities for technical mentorship. | PretrainPost-train | 9 |
| Senior Applied ML Scientist – Generative Video This role focuses on researching, designing, and training state-of-the-art generative video models, primarily diffusion-based, with applications for creative users. It involves exploring novel architectures, spatiotemporal modeling, and multi-modal conditioning, aiming for real-world product impact. | Post-train | 9 |
| Principal Applied Researcher Seeking a Senior Applied Researcher with expertise in Generative AI and LLM architectures to influence and implement foundational intelligence capabilities across Apple Services. The role involves architecting, designing, and deploying LLM-powered systems, leading research in areas like representation learning and RAG, driving LLM fine-tuning and evaluation, and exploring advanced methods like parameter-efficient adaptation and multi-agent orchestration. The goal is to build production-grade solutions that advance Apple's reasoning capabilities over text and behavioral signals at scale. | AgentPost-train | 9 |
| AIML - Senior ML Researcher in Foundation Models, Responsible AI Senior ML Researcher in Foundation Models, Responsible AI. Focus on research and application of ML methods for breakthrough user experiences while upholding Apple's values, privacy, and quality standards. Will define and deliver responsible ML technologies, develop methods to train and evaluate foundation models with responsibility and safety in mind, research safety alignment and model robustness, and develop mitigations for safe LLM deployment. | Post-trainAgent | 9 |
| AIML - Machine Learning Research Scientist, Data and ML Innovation Research Scientist role focused on fundamental research of foundation models for scientific domains, involving project definition, method development, experimental design, analysis, interpretation, publication, and applied problem-solving. Collaborates with internal teams. | PretrainPost-train | 9 |
| AIML - Machine Learning Research, Multimodal Foundation Models Research role focused on building multimodal foundation models, with a focus on image understanding and generation. The role involves developing algorithms, techniques, and systems that push the frontier of deep learning, with opportunities to publish and apply models to Apple products. | PretrainPost-train | 9 |
| Machine Learning Engineer - Intern Research-focused ML Engineer Intern at Apple's AI/ML org, focusing on data curation, model evaluation, and exploring new ML methods for large-scale systems, computer vision, NLP, and multi-modal understanding. The role involves collaborating with researchers and engineers to develop transformative products and publish groundbreaking research. | DataPost-train | 9 |
| AIML - ML Researcher, Responsible AI Research role focused on responsible AI, fairness, and safety of Generative AI, including red teaming, developing mitigations, and evaluation frameworks for LLMs and foundation models within consumer products. | Post-trainAgent | 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 |
| 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 |
| Computer Vision Research Engineer - Apple Maps 3D Vision Team Research Engineer role focused on Computer Vision and Machine Learning for Apple Maps 3D Vision Team, developing novel methods for SLAM, 3D reconstruction, and localization using large, multi-modal datasets. | Data | 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 |
| AIML - Research Scientist, AI Interpretability & Visualization Research Scientist focused on AI interpretability and visualization, developing tools and strategies to make AI systems more understandable, transparent, and safe. The role involves defining research directions, implementing new tools, investigating AI algorithms, and contributing to projects that ship on Apple devices. | Post-trainEval Gate | 8 |
| 3D Computer Vision Research Engineer, Apple Maps Research Engineer for Apple Maps focusing on 3D computer vision and ML to extract map features from imagery and sensor data. Develops models for visual understanding, scene understanding, and physical-world reasoning, combining ML, 3D geometry, and multimodal data for large-scale mapping problems. | Post-trainAgent | 7 |
| AIML - ML Research Scientist, HCMI Research Scientist role focused on developing and deploying ML technologies for understanding, interacting with, evaluating, and generating user interfaces across Apple platforms. The work integrates into various Apple products and services, with a focus on shipping both internal tools and external products. | Ship | 7 |