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• Machine Learning Engineer, Wallet Intelligence and Machine Learning

  Machine Learning and AI17 Jul 2026

  LocationAustin

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  • ShareMachine Learning Engineer, Wallet Intelligence and Machine Learning 200672668-0157

  • Role Number:  200672668-0157
  • Weekly Hours: 40 Hours

  Are you motivated to protect users and their accounts while delivering the best possible customer experience? Come join the Wallet Intelligence and Machine Learning team, where we help secure users' digital lives across Apple's devices without sacrificing privacy. Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud-prevention methods available to make Apple products, and especially Apple Pay and Apple Wallet, the safest platform people can use. The On...

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• Machine Learning Engineer, Wallet Intelligence and Machine Learning

  Machine Learning and AI17 Jul 2026

  LocationNew York City

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  • ShareMachine Learning Engineer, Wallet Intelligence and Machine Learning 200672668-2459

  • Role Number:  200672668-2459
  • Weekly Hours: 40 Hours

  Are you motivated to protect users and their accounts while delivering the best possible customer experience? Come join the Wallet Intelligence and Machine Learning team, where we help secure users' digital lives across Apple's devices without sacrificing privacy. Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud-prevention methods available to make Apple products, and especially Apple Pay and Apple Wallet, the safest platform people can use. The On...

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• AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation

  Machine Learning and AI17 Jul 2026

  LocationSeattle

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  • ShareAI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation 200672937-3337

  • Role Number:  200672937-3337
  • Weekly Hours: 40 Hours

  The Multimodal Intelligence Team is building the next generation of foundation models for Apple experiences. We are looking for a research scientist to advance the architectures, pre-training methods, and distillation techniques that make highly capable multimodal models practical across the Apple ecosystem. Our research spans the full foundation-model lifecycle: model architecture, pre-training objectives, data mixtures, optimization, scaling, distillation, and evaluation. A defining challenge of our work is to develop models that combine broad intelligence with the memory, latency, energ...

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• AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation

  Machine Learning and AI17 Jul 2026

  LocationSunnyvale

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  • ShareAI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation 200672937-3956

  • Role Number:  200672937-3956
  • Weekly Hours: 40 Hours

  The Multimodal Intelligence Team is building the next generation of foundation models for Apple experiences. We are looking for a research scientist to advance the architectures, pre-training methods, and distillation techniques that make highly capable multimodal models practical across the Apple ecosystem. Our research spans the full foundation-model lifecycle: model architecture, pre-training objectives, data mixtures, optimization, scaling, distillation, and evaluation. A defining challenge of our work is to develop models that combine broad intelligence with the memory, latency, energ...

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• AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation

  Machine Learning and AI17 Jul 2026

  LocationSeattle

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  • ShareAI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation 200672934-3337

  • Role Number:  200672934-3337
  • Weekly Hours: 40 Hours

  The Multimodal Intelligence Team is building the next generation of foundation models for Apple experiences. We are looking for a research scientist to advance the architectures, pre-training methods, and distillation techniques that make highly capable multimodal models practical across the Apple ecosystem. Our research spans the full foundation-model lifecycle: model architecture, pre-training objectives, data mixtures, optimization, scaling, distillation, and evaluation. A defining challenge of our work is to develop models that combine broad intelligence with the memory, latency, energ...

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• AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation

  Machine Learning and AI17 Jul 2026

  LocationSunnyvale

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  • ShareAI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation 200672934-3956

  • Role Number:  200672934-3956
  • Weekly Hours: 40 Hours

  The Multimodal Intelligence Team is building the next generation of foundation models for Apple experiences. We are looking for a research scientist to advance the architectures, pre-training methods, and distillation techniques that make highly capable multimodal models practical across the Apple ecosystem. Our research spans the full foundation-model lifecycle: model architecture, pre-training objectives, data mixtures, optimization, scaling, distillation, and evaluation. A defining challenge of our work is to develop models that combine broad intelligence with the memory, latency, energ...

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• Sr. Machine Learning Engineer, Siri Global

  Machine Learning and AI16 Jul 2026

  LocationCupertino

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  • ShareSr. Machine Learning Engineer, Siri Global 200672686-0836

  • Role Number:  200672686-0836
  • Weekly Hours: 40 Hours

  Join the Siri team at Apple! Build and contribute to a product and company that that is building products, personal devices, and software designed to enrich people’s lives. Work on building and advancing the world’s most popular intelligent assistant that helps millions of people get things done — just by asking. Global Siri works to take Siri to the next level of intelligence and capabilities in all languages and markets. We build machine learning models, systems, and software that understands the intents hundreds of millions of users and their billions of requests to Siri, on Apple devi...

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• CV/ML Systems Integration Engineer

  Machine Learning and AI16 Jul 2026

  LocationSunnyvale

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  • ShareCV/ML Systems Integration Engineer 200670668-3956

  • Role Number:  200670668-3956
  • Weekly Hours: 40 Hours

  At Apple, we're on the cutting edge of delivering transformative experiences. If you are passionate about pushing the limits of technology to bring delight to a large user base, we want you to join our team. We are looking for a highly self-motivated and collaborative software engineer to work on prototyping, integration, and productization of software that combines computer vision, 3D computer graphics, machine learning models, camera and/other sensor data. Together we'll ship exciting new technologies and experiences for Apple's current and next generation products. Are you ready to be a ...

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• Research Scientist - LLM Efficiency

  Machine Learning and AI15 Jul 2026

  LocationSanta Clara

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  • ShareResearch Scientist - LLM Efficiency 200631342-3760

  • Role Number:  200631342-3760
  • Weekly Hours: 40 Hours

  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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• Sr. Machine Learning Research Engineer, Siri Agent Modeling

  Machine Learning and AI13 Jul 2026

  LocationCupertino

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  • ShareSr. Machine Learning Research Engineer, Siri Agent Modeling 200588345-0836

  • Role Number:  200588345-0836
  • Weekly Hours: 40 Hours

  Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

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• Machine Learning Systems Engineer – Video Computer Vision

  Machine Learning and AI11 Jul 2026

  LocationSeattle

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  • ShareMachine Learning Systems Engineer – Video Computer Vision 200671637-3337

  • Role Number:  200671637-3337
  • Weekly Hours: 40 Hours

  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 Systems Engineer – Video Computer Vision

  Machine Learning and AI11 Jul 2026

  LocationSunnyvale

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  • ShareMachine Learning Systems Engineer – Video Computer Vision 200672068-3956

  • Role Number:  200672068-3956
  • Weekly Hours: 40 Hours

  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 — Camera & Photos, Creative Foundations

  Machine Learning and AI08 Jul 2026

  LocationSan Diego

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  • ShareMachine Learning Engineer — Camera & Photos, Creative Foundations 200659507-3543

  • Role Number:  200659507-3543
  • Weekly Hours: 40 Hours

  We're looking for a Machine Learning Engineer and Researcher to join the Creative Foundations team within Camera & Photos. In this role, you won't just implement models — you'll invent them. You'll work at the intersection of cutting-edge ML research and the features that hundreds of millions of people use every day to capture, relive, and share their most meaningful moments. This is a role for someone who gets excited about turning a theoretical breakthrough into a magical user experience. You'll bridge the gap between what's possible in research and what's shippable in product — translat...

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• Machine Learning Engineer, SIML

  Machine Learning and AI06 Jul 2026

  LocationCupertino

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  • ShareMachine Learning Engineer, SIML 200661302-0836

  • Role Number:  200661302-0836
  • Weekly Hours: 40 Hours

  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 optimizati...

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• Machine Learning Engineer, SIML

  Machine Learning and AI06 Jul 2026

  LocationSeattle

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  • ShareMachine Learning Engineer, SIML 200661302-3337

  • Role Number:  200661302-3337
  • Weekly Hours: 40 Hours

  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 optimizati...

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• Machine Learning Manager, Data for Foundation Models - SIML

  Machine Learning and AI06 Jul 2026

  LocationCupertino

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  • ShareMachine Learning Manager, Data for Foundation Models - SIML 200667330-0836

  • Role Number:  200667330-0836
  • Weekly Hours: 40 Hours

  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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• Senior Computer Vision Architect

  Machine Learning and AI02 Jul 2026

  LocationSunnyvale

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  • ShareSenior Computer Vision Architect 200651360-3956

  • Role Number:  200651360-3956
  • Weekly Hours: 40 Hours

  The Video Computer Vision organization within Video Engineering is a centralized applied research and engineering entity responsible for developing real-time on-device Computer Vision and Machine Perception technologies for Apple products. We strike a balance between research and product development to deliver Apple-quality, state-of-the-art experiences. We innovate across the full stack and collaborate with hardware, software, and machine learning teams to influence their roadmaps and enable Apple’s future product development.

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• Machine Learning Research Scientist - Health AIML

  Machine Learning and AI30 Jun 2026

  LocationSeattle

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  • ShareMachine Learning Research Scientist - Health AIML 200649925-3337

  • Role Number:  200649925-3337
  • Weekly Hours: 40 Hours

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• Machine Learning Research Scientist - Health AIML

  Machine Learning and AI30 Jun 2026

  LocationSeattle

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  • ShareMachine Learning Research Scientist - Health AIML 200670570-3337

  • Role Number:  200670570-3337
  • Weekly Hours: 40 Hours

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• Senior Software Engineer - 3D Vision & Perception

  Machine Learning and AI30 Jun 2026

  LocationSunnyvale

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  • ShareSenior Software Engineer - 3D Vision & Perception 200670178-3956

  • Role Number:  200670178-3956
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add ...

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