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135 resultado(s)

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• UX Software Engineer - Special Projects

  Machine Learning e Inteligencia artificial10 jul 2026

  UbicaciónSanta Clara

  Acciones

  
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  • CompartirUX Software Engineer - Special Projects 200671913-3760

  • Número de función:  200671913-3760
  • Horas semanales: 40 Horas

  We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together.

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• Mechatronics Research Engineer - Special Projects (Robotics)

  Machine Learning e Inteligencia artificial09 jul 2026

  UbicaciónSanta Clara

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  • CompartirMechatronics Research Engineer - Special Projects (Robotics) 200671460-3760

  • Número de función:  200671460-3760
  • Horas semanales: 40 Horas

  We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

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• Senior Tactile Research Engineer - Special Projects (Robotics)

  Machine Learning e Inteligencia artificial09 jul 2026

  UbicaciónSanta Clara

  Acciones

  
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  • CompartirSenior Tactile Research Engineer - Special Projects (Robotics) 200671454-3760

  • Número de función:  200671454-3760
  • Horas semanales: 40 Horas

  We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

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• Senior Tactile Embedded Controls Research Engineer - Special Projects (Robotics)

  Machine Learning e Inteligencia artificial09 jul 2026

  UbicaciónSanta Clara

  Acciones

  
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  • CompartirSenior Tactile Embedded Controls Research Engineer - Special Projects (Robotics) 200671459-3760

  • Número de función:  200671459-3760
  • Horas semanales: 40 Horas

  We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

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• Machine Learning Engineer, SIML

  Machine Learning e Inteligencia artificial06 jul 2026

  UbicaciónCupertino

  Acciones

  
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  • CompartirMachine Learning Engineer, SIML 200661302-0836

  • Número de función:  200661302-0836
  • 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 optimizati...

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• Machine Learning Engineer, SIML

  Machine Learning e Inteligencia artificial06 jul 2026

  UbicaciónSeattle

  Acciones

  
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  • CompartirMachine Learning Engineer, SIML 200661302-3337

  • Número de función:  200661302-3337
  • 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 optimizati...

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• Demographic Data Scientist

  Machine Learning e Inteligencia artificial06 jul 2026

  UbicaciónAustin

  Acciones

  
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  • CompartirDemographic Data Scientist 200670761-0157

  • Número de función:  200670761-0157
  • Horas semanales: 40 Horas

  Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human populations using statistics, computer programming, and machine learning within a human factors design team. You’ll have the unique opportunity to contribute to the development and continuing improvement of Apple hardware products by distilling data into actionable and intuitive visualizations from human interaction perspective.

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• AI/ML Evaluation Specialist, Human Data

  Machine Learning e Inteligencia artificial02 jul 2026

  UbicaciónCupertino

  Acciones

  
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  • CompartirAI/ML Evaluation Specialist, Human Data 200670744-0836

  • Número de función:  200670744-0836
  • Horas semanales: 40 Horas

  At Apple, we don’t just build products — we build experiences fueled by world-class data. The Human-centered AI team within Apple Services Engineering is looking for an ML Evaluation Specialist, Human Data to join our Data Quality and Operations division to spearhead complex, multi-stakeholder operations that specialize in data collection, curation, annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books.

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• Machine Learning Research Scientist - Health AIML

  Machine Learning e Inteligencia artificial30 jun 2026

  UbicaciónSeattle

  Acciones

  
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  • CompartirMachine Learning Research Scientist - Health AIML 200649925-3337

  • Número de función:  200649925-3337
  • Horas semanales: 40 Horas

  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 e Inteligencia artificial30 jun 2026

  UbicaciónSeattle

  Acciones

  
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  • CompartirMachine Learning Research Scientist - Health AIML 200670570-3337

  • Número de función:  200670570-3337
  • Horas semanales: 40 Horas

  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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• ML Research Engineer

  Machine Learning e Inteligencia artificial29 jun 2026

  UbicaciónCupertino

  Acciones

  
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  • CompartirML Research Engineer 200670239-0836

  • 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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• Machine Learning Engineer - Health AIML

  Machine Learning e Inteligencia artificial29 jun 2026

  UbicaciónCupertino

  Acciones

  
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  • CompartirMachine Learning Engineer - Health AIML 200662966-0836

  • Número de función:  200662966-0836
  • 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 Engineer - Health AIML

  Machine Learning e Inteligencia artificial29 jun 2026

  UbicaciónCambridge

  Acciones

  
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  • CompartirMachine Learning Engineer - Health AIML 200659977-1242

  • 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 artificial29 jun 2026

  UbicaciónCupertino

  Acciones

  
  • Ver descripción completa de la función
  • CompartirMachine Learning Engineer - Health AIML 200659977-0836

  • 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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• AIML - Machine Learning Researcher, MLR

  Machine Learning e Inteligencia artificial25 jun 2026

  UbicaciónCupertino

  Acciones

  
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  • CompartirAIML - Machine Learning Researcher, MLR 200662965-0836

  • Número de función:  200662965-0836
  • Horas semanales: 40 Horas

  Play a part in building the next revolution of machine learning technology. We’re looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results...

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning e Inteligencia artificial24 jun 2026

  UbicaciónCupertino

  Acciones

  
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  • CompartirAIML - Machine Learning Engineer, Foundation Models 200617642-0836

  • Número de función:  200617642-0836
  • Horas semanales: 40 Horas

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning e Inteligencia artificial24 jun 2026

  UbicaciónNueva York

  Acciones

  
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  • CompartirAIML - Machine Learning Engineer, Foundation Models 200617642-2459

  • Número de función:  200617642-2459
  • Horas semanales: 40 Horas

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning e Inteligencia artificial24 jun 2026

  UbicaciónSeattle

  Acciones

  
  • Ver descripción completa de la función
  • CompartirAIML - Machine Learning Engineer, Foundation Models 200617642-3337

  • Número de función:  200617642-3337
  • Horas semanales: 40 Horas

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning e Inteligencia artificial24 jun 2026

  UbicaciónCupertino

  Acciones

  
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  • CompartirAIML - Machine Learning Researcher, Foundation Models 200641998-0836

  • Número de función:  200641998-0836
  • Horas semanales: 40 Horas

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning e Inteligencia artificial24 jun 2026

  UbicaciónNueva York

  Acciones

  
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  • CompartirAIML - Machine Learning Researcher, Foundation Models 200641998-2459

  • Número de función:  200641998-2459
  • Horas semanales: 40 Horas

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

  Enviar currículum