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• Machine Learning Engineer, Evaluation, Agentic Search Capabilities

  Machine Learning and AI09 de oct de 2026

  LocationCupertino

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  • ShareMachine Learning Engineer, Evaluation, Agentic Search Capabilities 200670397-0836

  • Role Number:  200670397-0836
  • Weekly Hours: 40 Hours

  The Agentic Search team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search that powers experiences across Siri, Spotlight, Mail, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private.

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• AIML Data Operations - Site Project Representative

  Machine Learning and AI09 de oct de 2026

  LocationSingapore

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  • ShareAIML Data Operations - Site Project Representative 200675940-3278

  • Role Number:  200675940-3278
  • Weekly Hours: 40 Hours

  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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• Applied AI Engineer, Agent Harness

  Machine Learning and AI08 de oct de 2026

  LocationCupertino

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  • Share Applied AI Engineer, Agent Harness 200688056-0836

  • Role Number:  200688056-0836
  • 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. It runs on our next generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, and it is built with privacy from the ground up. We build the harness, the foundation that turns a model into an assistant that can act. This is a systems engineering role for people who understand how large language models behave.

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• Applied Data Scientist - Operations Decision Intelligence

  Machine Learning and AI08 de oct de 2026

  LocationSeattle

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  • ShareApplied Data Scientist - Operations Decision Intelligence 200686918-3337

  • Role Number:  200686918-3337
  • Weekly Hours: 40 Hours

  Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the speed of our evaluation processes. We believe that to build exceptional AI, you need exceptional evaluation operation tools. Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quali...

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• Senior Applied AI Engineer, Agent Tools & Capabilities

  Machine Learning and AI08 de oct de 2026

  LocationCupertino

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  • ShareSenior Applied AI Engineer, Agent Tools & Capabilities 200687813-0836

  • Role Number:  200687813-0836
  • 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. We extend what Siri can do, connecting it to the apps and services you use and love, defining how the model and the software meet, and building the platform that powers it all. This is a rare opportunity to build at the intersection of cut...

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• Evaluation Science Lead

  Machine Learning and AI08 de oct de 2026

  LocationAustin

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  • ShareEvaluation Science Lead 200686562-0157

  • Role Number:  200686562-0157
  • Weekly Hours: 40 Hours

  The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. Join Apple, and help us leave the world better than we found it. We are looking for an Evaluation Science Lead to define how our multilingual Globalization AI solutions are measured and validated across Apple Services — including Apple Music, App Store, Apple TV+, Apple Podcasts, and more. This is a rare opportunity to build evaluation science as a dis...

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• Evaluation Science Lead

  Machine Learning and AI08 de oct de 2026

  LocationCupertino

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  • ShareEvaluation Science Lead 200686562-0836

  • Role Number:  200686562-0836
  • Weekly Hours: 40 Hours

  The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. Join Apple, and help us leave the world better than we found it. We are looking for an Evaluation Science Lead to define how our multilingual Globalization AI solutions are measured and validated across Apple Services — including Apple Music, App Store, Apple TV+, Apple Podcasts, and more. This is a rare opportunity to build evaluation science as a dis...

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• Senior Machine Learning Engineer

  Machine Learning and AI08 de oct de 2026

  LocationBeijing

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  • ShareSenior Machine Learning Engineer 200687886-0351

  • Role Number:  200687886-0351
  • Weekly Hours: 40 Hours

  oin the Siri team at Apple! Build and contribute to a product and company 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 bring Siri to the next level of intelligence and capability across all languages and markets. We build machine learning models, systems, and software that understand the intents of hundreds of millions of users and their billions of requests to Siri on Apple devices...

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• Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling

  Machine Learning and AI07 de oct de 2026

  LocationCupertino

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  • ShareMachine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling 200687821-0836

  • Role Number:  200687821-0836
  • 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 Scientist - Apple Services Engineering, GenAI & ML Frameworks

  Machine Learning and AI06 de oct de 2026

  LocationNew York City

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  • ShareMachine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks 200687461-2459

  • Role Number:  200687461-2459
  • Weekly Hours: 40 Hours

  Apple Services GenAI & ML Frameworks team aims at bridging foundation model capabilities with real-world production systems. The work spans LLM continual pretraining, posttraining, agentic reinforcement learning, agentic system optimization etc.. This role is part of the cross-LOB effort to support various GenAI use cases across ASE, and specializes in improving LLM domain knowledge, tool use, reasoning, and system integration—working closely with product, infra, and foundation model teams to bring cutting-edge models into user-facing features at scale.

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• AIML - Manager, Applied AI Science - LLM/VLM-as-judge

  Machine Learning and AI06 de oct de 2026

  LocationCupertino

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  • ShareAIML - Manager, Applied AI Science - LLM/VLM-as-judge 200661915-0836

  • Role Number:  200661915-0836
  • Weekly Hours: 40 Hours

  Do you get excited by building and leading a team that redefines how AI products are evaluated? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations. We are seeking an experienced and hands-on Manager to lead a team of Applied AI Scientists developing cutting-edge AI/ML models for the aut...

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• AIML - Applied ML Research Scientist - Accessibility, Human Centered Machine Intelligence

  Machine Learning and AI05 de oct de 2026

  LocationSeattle

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  • ShareAIML - Applied ML Research Scientist - Accessibility, Human Centered Machine Intelligence 200687240-3337

  • Role Number:  200687240-3337
  • Weekly Hours: 40 Hours

  We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical challenges, collaborate with partner teams to ship products, and shape the field of human-centered AIML via external publication. Join us to advance ML research and intelligent interactive technologies that enable people of all abilities to use Apple technology.

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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Machine Learning and AI02 de oct de 2026

  LocationCupertino

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  • ShareSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-0836

  • Role Number:  200682418-0836
  • 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. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Machine Learning and AI02 de oct de 2026

  LocationCambridge

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  • ShareSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-1242

  • Role Number:  200682418-1242
  • 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. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

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• AIML - Sr Software Engineer - AI, Evaluation

  Machine Learning and AI01 de oct de 2026

  LocationCupertino

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  • ShareAIML - Sr Software Engineer - AI, Evaluation 200686891-0836

  • Role Number:  200686891-0836
  • Weekly Hours: 40 Hours

  Do you want to help build the next generation of Apple AI products? Our Evaluation organization measures quality across Apple Intelligence, Siri, and newest generative features, and our measurements directly inform launch decisions. Our team builds the platforms behind it: LLM-as-judge autograders, tools to validate them against human judgment, and systems that run them at scale. We are looking for a senior engineer to own a critical part of that platform and take it to the next level.

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• Machine Learning Engineer - AI, Search & Knowledge Platform

  Machine Learning and AI30 de sept de 2026

  LocationBeijing

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  • ShareMachine Learning Engineer - AI, Search & Knowledge Platform 200686264-0351

  • Role Number:  200686264-0351
  • Weekly Hours: 40 Hours

  The Answers & Knowledge & Information team is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking...

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• Machine Learning Engineer - AI, Search & Knowledge Platform

  Machine Learning and AI30 de sept de 2026

  LocationShanghai

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  • ShareMachine Learning Engineer - AI, Search & Knowledge Platform 200686264-3715

  • Role Number:  200686264-3715
  • Weekly Hours: 40 Hours

  The Answers & Knowledge & Information team is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking...

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• Senior Machine Learning Engineer, NLP, Input Experience

  Machine Learning and AI27 de sept de 2026

  LocationCupertino

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  • ShareSenior Machine Learning Engineer, NLP, Input Experience 200651071-0836

  • Role Number:  200651071-0836
  • Weekly Hours: 40 Hours

  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 Scientist, Evaluation

  Machine Learning and AI24 de sept de 2026

  LocationCupertino

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  • ShareAIML - Data Scientist, Evaluation 200685687-0836

  • Role Number:  200685687-0836
  • Weekly Hours: 40 Hours

  Do you get excited by building software systems to enhance the automatic evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search, Siri to the latest Apple Intelligence capabilities. As part of our online metrics and insights team, we are looking for a Sr Data Scientist to contribute to product understanding and development of Apple features. This role involves using analytical and engineering methods augmented by LLMs and python to develop conceptual and analytical models...

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• Senior Software Engineer

  Machine Learning and AI23 de sept de 2026

  LocationCupertino

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  • ShareSenior Software Engineer 200672806-0836

  • Role Number:  200672806-0836
  • Weekly Hours: 40 Hours

  As part of the Siri organization, you will build the systems and tooling that make evaluation a first-class part of how Siri is developed — not an after-the-fact check — spanning human evaluation, real user feedback, reward and alignment signals, and data science rigor across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to work at the intersection of software engineering and rigorous evaluation science — applying machine learning engineering techniques, from model evaluation to reward modeling, to build the infrastructure that keeps this quality signal trustworthy....

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