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Senior Machine Learning Engineer, Apple Wallet
Machine Learning e Inteligencia artificial11 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200683100-0836
Horas semanales: 40 Horas
Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security.
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Machine Learning Engineer
Machine Learning e Inteligencia artificial11 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200683023-0836
Horas semanales: 40 Horas
At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Ready to make an impact?
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Machine Learning Manager, Visual Generation Foundation Models
Machine Learning e Inteligencia artificial11 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200667330-0836
Horas semanales: 40 Horas
Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimiza...
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Machine Learning Engineer - Health AIML
Machine Learning e Inteligencia artificial09 sep 2026
UbicaciónCambridge
Acciones
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Número de función: 200659977-1242
Horas semanales: 40 Horas
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
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Machine Learning Engineer - Health AIML
Machine Learning e Inteligencia artificial09 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200659977-0836
Horas semanales: 40 Horas
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
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Machine Learning Researcher Multi-Modal Reasoning
Machine Learning e Inteligencia artificial04 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200682033-0836
Horas semanales: 40 Horas
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...
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Machine Learning Researcher Multi-Modal Reasoning
Machine Learning e Inteligencia artificial04 sep 2026
UbicaciónSeattle
Acciones
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Número de función: 200682033-3337
Horas semanales: 40 Horas
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...
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Machine Learning Systems Engineer – Video Computer Vision
Machine Learning e Inteligencia artificial03 sep 2026
UbicaciónSunnyvale
Acciones
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Número de función: 200681077-3956
Horas semanales: 40 Horas
The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessl...
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Machine Learning Systems Engineer – Video Computer Vision
Machine Learning e Inteligencia artificial01 sep 2026
UbicaciónSunnyvale
Acciones
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Número de función: 200681055-3956
Horas semanales: 40 Horas
The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly ...
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Machine Learning Engineer
Machine Learning e Inteligencia artificial26 ago 2026
UbicaciónCupertino
Acciones
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Número de función: 200670239-0836
Horas semanales: 40 Horas
Video is at the core of nearly all Apple products, and as a research engineer on our team, you will build the infrastructure, pipelines, systems, and models that power the next generation of video technology. We are looking for a highly ambitious individual, who will flourish working on technically meaningful problems across the full ML lifecycle — including training infrastructure, performance optimization, data, and production deployment. Your work will redefine the video experience for billions of users.
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AI/ML Software Engineer
Machine Learning e Inteligencia artificial11 ago 2026
UbicaciónSunnyvale
Acciones
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Número de función: 200676774-3956
Horas semanales: 40 Horas
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
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Multimodal AI Researcher
Machine Learning e Inteligencia artificial11 ago 2026
UbicaciónSunnyvale
Acciones
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Número de función: 200676775-3956
Horas semanales: 40 Horas
The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, multimodal generative AI, and agents. Our algorithms ship across a range of Apple products, including iPhone and Apple Vision Pro, where our work has contributed to technologies like Personalized Spatial Audio, EyeSight, and Persona as well as future Apple products. We are an applied research group, we push the st...
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Applied Researcher: On-Device Multimodal Reasoning
Machine Learning e Inteligencia artificial05 ago 2026
UbicaciónSunnyvale
Acciones
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Número de función: 200676219-3956
Horas semanales: 40 Horas
The Video Computer Vision (VCV) organization is an applied research and engineering team developing real-time, on-device Computer Vision and Machine Perception technologies across Apple products. Within VCV, our team builds next-generation multimodal AI systems that combine on-device multimodal encoders, large language models, and foundation models to create intelligent systems capable of understanding, reasoning, and acting across language, vision, audio, and tools. Our work is deeply integrated into the Apple ecosystem, partnering across hardware, software, and ML teams to deliver real-ti...
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Research Manager, Multimodal Reasoning - SIML
Machine Learning e Inteligencia artificial30 jul 2026
UbicaciónCupertino
Acciones
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Número de función: 200657558-0836
Horas semanales: 40 Horas
The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager in Multimodal Reasoning. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work: (a) https://arxiv.org/pdf/2507.13575 (b) https://arxiv.org...
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Research Manager, Multimodal Reasoning - SIML
Machine Learning e Inteligencia artificial30 jul 2026
UbicaciónSeattle
Acciones
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Número de función: 200657558-3337
Horas semanales: 40 Horas
The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager in Multimodal Reasoning. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work: (a) https://arxiv.org/pdf/2507.13575 (b) https://arxiv.org...
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Sr Data Engineer, AIML
Machine Learning e Inteligencia artificial29 jul 2026
UbicaciónCupertino
Acciones
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Número de función: 200660581-0836
Horas semanales: 40 Horas
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! The AI and Machine Learning team is looking for Senior Data Engineer to build world-class data infrastructure and solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Mod...
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Research Scientist/Engineer - Agentic Workflows
Machine Learning e Inteligencia artificial28 jul 2026
UbicaciónSanta Clara
Acciones
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Número de función: 200631338-3760
Horas semanales: 40 Horas
We're seeking research scientists and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, robotics, and related areas. We are particularly interested in frontier models (including large multimodal models) and agentic workflows. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
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Research Scientist/Engineer - Agentic Workflows
Machine Learning e Inteligencia artificial28 jul 2026
UbicaciónSeattle
Acciones
Ver descripción completa de la función
Número de función: 200631338-3337
Horas semanales: 40 Horas
We're seeking research scientists and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, robotics, and related areas. We are particularly interested in frontier models (including large multimodal models) and agentic workflows. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
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Senior Machine Learning Software Engineer - Computer Vision
Machine Learning e Inteligencia artificial28 jul 2026
UbicaciónSunnyvale
Acciones
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Número de función: 200674465-3956
Horas semanales: 40 Horas
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply...
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Research Scientist/Engineer - LLM Efficiency
Machine Learning e Inteligencia artificial28 jul 2026
UbicaciónSanta Clara
Acciones
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Número de función: 200631342-3760
Horas semanales: 40 Horas
We're seeking research scientists and engineers to create breakthrough innovations in machine learning. We are particularly interested in efficiency of frontier models, including LLMs and diffusion models. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
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