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• AIML - Sr Machine Learning Engineer, Data and ML Innovation

  Apprendimento automatico e intelligenza artificiale08 giu 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML - Sr Machine Learning Engineer, Data and ML Innovation 200667335-0836

  • Numero ruolo:  200667335-0836
  • Ore settimanali: 40 Ore

  We are looking for talented machine learning engineers who are excited to tackle some of the most meaningful and technically challenging problems in building and deploying foundation model–based products for our customers. As a Machine Learning Engineer focused on foundation model evaluation, you will play a critical role in assessing the capabilities of the models that power Apple Intelligence features. You will work closely with machine learning researchers to translate evaluation insights into actionable improvements that advance future model performance.

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• AIML Engineer - Human Perception

  Apprendimento automatico e intelligenza artificiale08 giu 2026

  Area geograficaSunnyvale

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML Engineer - Human Perception 200667012-3956

  • Numero ruolo:  200667012-3956
  • Ore settimanali: 40 Ore

  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, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.

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• Software Engineer: Agentic Evaluation

  Apprendimento automatico e intelligenza artificiale08 giu 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiSoftware Engineer: Agentic Evaluation 200666976-0836

  • Numero ruolo:  200666976-0836
  • Ore settimanali: 40 Ore

  At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to help measure and improve the quality of Siri across the devices, features, and experiences people rely on every day? Apple's Agentic Evaluation Engineering organization builds the infrastructure that determines how Siri's quality is measured, trusted, and improved. You'll join a team focused on expanding what that platform can reach: the devices and environments we evaluate on, ...

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• Machine Learning Manager, Data for Foundation Models

  Apprendimento automatico e intelligenza artificiale08 giu 2026

  Area geograficaSeattle

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiMachine Learning Manager, Data for Foundation Models 200667330-3337

  • Numero ruolo:  200667330-3337
  • Ore settimanali: 40 Ore

  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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• ML Researcher, Apple Foundation Models

  Apprendimento automatico e intelligenza artificiale08 giu 2026

  Area geograficaVarie aree geografiche – Area metropolitana di New York City

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiML Researcher, Apple Foundation Models 200664386-2621

  • Numero ruolo:  200664386-2621
  • Ore settimanali: 40 Ore

  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 - ML Researcher, Responsible AI

  Apprendimento automatico e intelligenza artificiale05 giu 2026

  Area geograficaSeattle

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML - ML Researcher, Responsible AI 200667081-3337

  • Numero ruolo:  200667081-3337
  • Ore settimanali: 40 Ore

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Apprendimento automatico e intelligenza artificiale05 giu 2026

  Area geograficaPittsburgh

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML - ML Researcher, Responsible AI 200667081-2926

  • Numero ruolo:  200667081-2926
  • Ore settimanali: 40 Ore

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Apprendimento automatico e intelligenza artificiale05 giu 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML - ML Researcher, Responsible AI 200667081-0836

  • Numero ruolo:  200667081-0836
  • Ore settimanali: 40 Ore

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• Senior Machine Learning Research Engineer, NLP, Input Experience

  Apprendimento automatico e intelligenza artificiale05 giu 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiSenior Machine Learning Research Engineer, NLP, Input Experience 200651071-0836

  • Numero ruolo:  200651071-0836
  • Ore settimanali: 40 Ore

  Our team’s mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input, composition, and understanding, with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing, machine learning, and software engineering. We are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features, including Writing Tools, Summarization, Found In Apps, and Messages/Mail Smart Replies. Additionally, we oversee the keyboard machine learning and ...

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• AIML - Data Operations Annotation Analyst (Mandarin)

  Apprendimento automatico e intelligenza artificiale05 giu 2026

  Area geograficaShanghai

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML - Data Operations Annotation Analyst (Mandarin) 200651352-3715

  • Numero ruolo:  200651352-3715
  • Ore settimanali: 40 Ore

  Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple donʼt just craft products - they build the kind of wonder that revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you interested in being part of a team that continues to innovate the way ...

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• AIML Data Operations - Site Project Representative

  Apprendimento automatico e intelligenza artificiale05 giu 2026

  Area geograficaSingapore

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML Data Operations - Site Project Representative 200659558-3278

  • Numero ruolo:  200659558-3278
  • Ore settimanali: 40 Ore

  Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple don’t just craft products - they build the kind of wonder thatʼs revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. AIML Data Operations is a fast paced, dynamic environment. Our team directly...

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• Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

  Apprendimento automatico e intelligenza artificiale04 giu 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiSoftware Engineer in Natural Language Processing (NLP) and Machine Learning (ML) 200666537-0836

  • Numero ruolo:  200666537-0836
  • Ore settimanali: 40 Ore

  Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for ...

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• Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

  Apprendimento automatico e intelligenza artificiale04 giu 2026

  Area geograficaSeattle

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiSoftware Engineer in Natural Language Processing (NLP) and Machine Learning (ML) 200666537-3337

  • Numero ruolo:  200666537-3337
  • Ore settimanali: 40 Ore

  Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for ...

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• Machine Learning Research Engineer , Text Generation, Input Experience

  Apprendimento automatico e intelligenza artificiale04 giu 2026

  Area geograficaSeattle

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiMachine Learning Research Engineer , Text Generation, Input Experience 200666539-3337

  • Numero ruolo:  200666539-3337
  • Ore settimanali: 40 Ore

  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, what we deliver is the result of us making each other’s ideas stronger. 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 something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. Our team is ...

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• AIML - Sr Machine Learning Engineer - Data and ML Innovation

  Apprendimento automatico e intelligenza artificiale01 giu 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML - Sr Machine Learning Engineer - Data and ML Innovation 200666135-0836

  • Numero ruolo:  200666135-0836
  • Ore settimanali: 40 Ore

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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• AIML - Sr Machine Learning Engineer - Data and ML Innovation

  Apprendimento automatico e intelligenza artificiale01 giu 2026

  Area geograficaSeattle

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiAIML - Sr Machine Learning Engineer - Data and ML Innovation 200666135-3337

  • Numero ruolo:  200666135-3337
  • Ore settimanali: 40 Ore

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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• Machine Learning Researcher - Apple Music - Recommender Systems

  Apprendimento automatico e intelligenza artificiale30 mag 2026

  Area geograficaLondra

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiMachine Learning Researcher - Apple Music - Recommender Systems 200665642-2114

  • Numero ruolo:  200665642-2114
  • Ore settimanali: 35 Ore

  Join the team that helps all Apple Music users discover music they will love. We are behind some of the most popular features in Apple Music, including the Home and New tabs, Discovery Station and Playlist Playground. Music is our passion, and our aim is to connect artists with music fans. Two people are always on our minds: the listener trying to find their next favourite, and the artist trying to be found. Our team members come from 10 countries, creating a diverse, open-minded environment in which we help each other do amazing work and grow. Here at Apple, innovation never stops. Brin...

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• Evaluation Reliability SRE

  Apprendimento automatico e intelligenza artificiale29 mag 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiEvaluation Reliability SRE 200665852-0836

  • Numero ruolo:  200665852-0836
  • Ore settimanali: 40 Ore

  Siri’s quality signal drives every model and product decision before a release ships. But a signal is only as trustworthy as the infrastructure behind it. The Evaluation Reliability Engineering (ERE) team exists to make that infrastructure bulletproof. Within ERE, Core SRE owns the production backbone: resource management, session orchestration, on-call response, and the observability systems that surface failures before they corrupt evaluation signal. We sit at the intersection of distributed systems, ML evaluation infrastructure, and operational excellence.

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• Sr. Software Engineer - Data, Siri Speech

  Apprendimento automatico e intelligenza artificiale22 mag 2026

  Area geograficaCambridge

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiSr. Software Engineer - Data, Siri Speech 200651524-1242

  • Numero ruolo:  200651524-1242
  • Ore settimanali: 40 Ore

  Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signa...

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• Sr. Software Engineer - Data, Siri Speech

  Apprendimento automatico e intelligenza artificiale22 mag 2026

  Area geograficaCupertino

  Azioni

  
  • Vedi descrizione completa del ruolo
  • CondividiSr. Software Engineer - Data, Siri Speech 200651524-0836

  • Numero ruolo:  200651524-0836
  • Ore settimanali: 40 Ore

  Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signa...

  Invia curriculum