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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
