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• Computer Vision & Machine Learning Engineer

  Machine Learning und AI11. Juni 2026

  StandortSunnyvale

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  • TeilenComputer Vision & Machine Learning Engineer 200667649-3956

  • Stellennummer:  200667649-3956
  • Wochenstunden: 40 Stunden

  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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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning und AI10. Juni 2026

  StandortAustin

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  • TeilenApplied AI Engineer (EDA), Platform Architecture 200667745-0157

  • Stellennummer:  200667745-0157
  • Wochenstunden: 40 Stunden

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning und AI10. Juni 2026

  StandortCupertino

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  • TeilenApplied AI Engineer (EDA), Platform Architecture 200667745-0836

  • Stellennummer:  200667745-0836
  • Wochenstunden: 40 Stunden

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning und AI10. Juni 2026

  StandortAustin

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  • TeilenApplied AI Engineer (EDA), Platform Architecture 200667797-0157

  • Stellennummer:  200667797-0157
  • Wochenstunden: 40 Stunden

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning und AI10. Juni 2026

  StandortCupertino

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  • TeilenApplied AI Engineer (EDA), Platform Architecture 200667797-0836

  • Stellennummer:  200667797-0836
  • Wochenstunden: 40 Stunden

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• AIML - Senior ML Engineer, Responsible AI and Safety

  Machine Learning und AI10. Juni 2026

  StandortCupertino

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  • TeilenAIML - Senior ML Engineer, Responsible AI and Safety 200667798-0836

  • Stellennummer:  200667798-0836
  • Wochenstunden: 40 Stunden

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. ...

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• AIML - Senior ML Engineer, Responsible AI and Safety

  Machine Learning und AI10. Juni 2026

  StandortNew York City

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  • TeilenAIML - Senior ML Engineer, Responsible AI and Safety 200667798-2459

  • Stellennummer:  200667798-2459
  • Wochenstunden: 40 Stunden

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. ...

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• Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval

  Machine Learning und AI10. Juni 2026

  StandortCupertino

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  • TeilenStaff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval 200644466-0836

  • Stellennummer:  200644466-0836
  • Wochenstunden: 5 Stunden

  At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising...

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• Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems

  Machine Learning und AI09. Juni 2026

  StandortCupertino

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  • TeilenMachine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems 200664261-0836

  • Stellennummer:  200664261-0836
  • Wochenstunden: 40 Stunden

  The Intelligence Platform team empowers clients across Apple’s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We’re an applied Machine Learning team that leverages state-of-the-art technologies—Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns—to deliver high-quality inferences at scale!

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• Applied Research Scientist, Proactive Intelligence — Personal and Agentic Search

  Machine Learning und AI09. Juni 2026

  StandortCupertino

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  • TeilenApplied Research Scientist, Proactive Intelligence — Personal and Agentic Search 200667354-0836

  • Stellennummer:  200667354-0836
  • Wochenstunden: 40 Stunden

  AI represents a big opportunity to elevate Apple’s products and experiences for billions of people globally. We are looking for Applied Research Scientists with a background and interest in Agentic Systems. You will be leveraging state-of-the-art Generative models to ship extraordinary products, services, and customer experiences for the iPhone, Mac, Apple Watch, iPad and more. The mission of Proactive Intelligence is to improve Apple platforms by better understanding, anticipating and adapting to user behavior by using machine learning to build phenomenal features that are built right in...

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• Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Machine Learning und AI09. Juni 2026

  StandortMehrere Standorte in San Francisco Bay Area

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  • TeilenSenior Machine Learning iOS Platform Engineer — Responsible AI and Safety 200667449-3401

  • Stellennummer:  200667449-3401
  • Wochenstunden: 40 Stunden

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety cla...

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• Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Machine Learning und AI09. Juni 2026

  StandortMehrere Standorte in Seattle Metro Area

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  • TeilenSenior Machine Learning iOS Platform Engineer — Responsible AI and Safety 200667449

  • Stellennummer:  200667449
  • Wochenstunden: 40 Stunden

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety cla...

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• ML Researcher, Apple Foundation Models

  Machine Learning und AI08. Juni 2026

  StandortMehrere Standorte in New York City (Metropolregion)

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  • TeilenML Researcher, Apple Foundation Models 200664386-2621

  • Stellennummer:  200664386-2621
  • Wochenstunden: 40 Stunden

  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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• Senior Data Scientist, Experimentation & Causal Inference

  Machine Learning und AI05. Juni 2026

  StandortCupertino

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  • TeilenSenior Data Scientist, Experimentation & Causal Inference 200666485-0836

  • Stellennummer:  200666485-0836
  • Wochenstunden: 40 Stunden

  At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization. Beyond individual experiment...

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• Senior Data Scientist, Strategic Modeling & Simulation

  Machine Learning und AI05. Juni 2026

  StandortCupertino

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  • TeilenSenior Data Scientist, Strategic Modeling & Simulation 200666451-0836

  • Stellennummer:  200666451-0836
  • Wochenstunden: 40 Stunden

  At Apple, many of the most consequential decisions are made long before products launch, features ship, or investments are approved. We are seeking a Senior Data Scientist, StrategicModeling & Simulation to help quantify the future impact of strategic decisions under uncertainty. This role combines strategic simulation, predictive modeling, machine learning, impact estimation, forecasting, and quantitative decision science to help leadership evaluate opportunities, understand trade-offs, and make better long-term investment decisions. You will develop the models that connect experimenta...

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• Sr Machine Learning Engineer, Proactive

  Machine Learning und AI04. Juni 2026

  StandortSanta Clara

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  • TeilenSr Machine Learning Engineer, Proactive 200661999-3760

  • Stellennummer:  200661999-3760
  • Wochenstunden: 40 Stunden

  We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!

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• Special Projects - Research Scientist/Engineer (Robotics)

  Machine Learning und AI27. Mai 2026

  StandortSanta Clara

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  • TeilenSpecial Projects - Research Scientist/Engineer (Robotics) 200663675-3760

  • Stellennummer:  200663675-3760
  • Wochenstunden: 40 Stunden

  We are seeking research scientists and engineers with a strong background in machine learning and robotics to drive breakthrough innovations in intelligent 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 and publishing in top-tier scientific venues.

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• Engineering Manager, Data for Applied AI Models

  Machine Learning und AI27. Mai 2026

  StandortCupertino

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  • TeilenEngineering Manager, Data for Applied AI Models 200648101-0836

  • Stellennummer:  200648101-0836
  • Wochenstunden: 40 Stunden

  Join us at the forefront of redefining how people interact with their devices. On the Siri team, we’re solving the challenge of building and shipping powerful LLMs that shape the way millions of Apple customers get things done every day. As our Data lead, you will help craft the future of on-device AI by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on technical leader who thrives at the intersection of cutting-edge AI development and product delivery.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Machine Learning und AI27. Mai 2026

  StandortCupertino

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  • TeilenAIML Researcher/Engineer - Foundation Model Post-Training 200662944-0836

  • Stellennummer:  200662944-0836
  • Wochenstunden: 40 Stunden

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Machine Learning und AI27. Mai 2026

  StandortNew York City

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  • TeilenAIML Researcher/Engineer - Foundation Model Post-Training 200662944-2459

  • Stellennummer:  200662944-2459
  • Wochenstunden: 40 Stunden

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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