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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.