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• Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

  Machine Learning and AIOct 06, 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 AIOct 06, 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 - Sr Software Engineer - AI, Evaluation

  Machine Learning and AIOct 01, 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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• AIML - Sr Machine Learning Engineer, DMLI

  Machine Learning and AISep 30, 2026

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer, DMLI 200686665-0836

  • Role Number:  200686665-0836
  • Weekly Hours: 40 Hours

  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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• Staff Machine Learning Engineer - Ads Bidding & Pacing

  Machine Learning and AISep 29, 2026

  LocationCupertino

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  • ShareStaff Machine Learning Engineer - Ads Bidding & Pacing 200686204-0836

  • Role Number:  200686204-0836
  • Weekly Hours: 40 Hours

  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 advertis...

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• Senior Machine Learning Engineer, NLP, Input Experience

  Machine Learning and AISep 27, 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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• Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities, Proactive

  Machine Learning and AISep 25, 2026

  LocationSanta Clara

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  • ShareMachine Learning Engineering Manager, Evaluation, Agentic Search Capabilities, Proactive 200672920-3760

  • Role Number:  200672920-3760
  • Weekly Hours: 40 Hours

  The Siri 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, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, 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 pr...

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• AIML - Data Scientist, Evaluation

  Machine Learning and AISep 24, 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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• Sr.Software Engineer (Machine Learning), Ops & Sales Engineering

  Machine Learning and AISep 24, 2026

  LocationSunnyvale

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  • ShareSr.Software Engineer (Machine Learning), Ops & Sales Engineering 200685752-3956

  • Role Number:  200685752-3956
  • 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. Bring passion and dedication to your job and there's no telling what you could accomplish. 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! Do you want to help build some of the largest and most consequential enterprise and customer technology syste...

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• Senior Software Engineer

  Machine Learning and AISep 23, 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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• AIML - Distinguished Engineer, Foundation Model

  Machine Learning and AISep 22, 2026

  LocationCupertino

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  • ShareAIML - Distinguished Engineer, Foundation Model 200685223-0836

  • Role Number:  200685223-0836
  • Weekly Hours: 40 Hours

  Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We are seeking a Distinguished Engineer to set the technical direction for the systems that power our foundation model training — with an initial focus on the inference engine that the foundation model team relies on for training, model evaluation, and other needs in the model development loop. This is a senior individual-contributor leadership role. You will be one of the most senior technical voices for foundation model systems at Ap...

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• Senior Exercise Physiologist - Health AIML

  Machine Learning and AISep 17, 2026

  LocationCupertino

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  • ShareSenior Exercise Physiologist - Health AIML 200684303-0836

  • Role Number:  200684303-0836
  • Weekly Hours: 40 Hours

  The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit, interdisciplinary team of research scientists, machine learning engineers, clinicians, and health scientists working on technologies that reach millions of people. We are looking for a senior exercise physiologist who wants to shape what people are told about how to move, train, recover, and stay capable as they age.

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• Sr. Machine Learning Engineer - Answers, Knowledge & Information (AKI)

  Machine Learning and AISep 17, 2026

  LocationSanta Clara

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  • ShareSr. Machine Learning Engineer - Answers, Knowledge & Information (AKI) 200683999-3760

  • Role Number:  200683999-3760
  • Weekly Hours: 40 Hours

  Siri helps hundreds of millions of people find the information they are looking for. A critical part of that mission is helping them quickly find and discover local businesses, places of interest, and addresses. Users rely on us for relevant and easy access to local information like finding a favorite or romantic restaurant, business hours, nearby coffee shop addresses, and directions to prominent locations. The Geo domain team is redefining how hundreds of millions of people use their devices to navigate and explore the physical world around them. We are part of a wider effort to power se...

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• Machine Learning Engineer, Natural Language Understanding, Proactive

  Machine Learning and AISep 15, 2026

  LocationSanta Clara

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  • ShareMachine Learning Engineer, Natural Language Understanding, Proactive 200683571-3760

  • Role Number:  200683571-3760
  • Weekly Hours: 40 Hours

  Apple's On-Device Query Understanding team is building the next generation of personalized, intelligent search. You will research and develop novel approaches in query understanding and machine learning modeling, creating the technology that enables seamless search and assistant experiences across Apple products. This is a role for someone passionate about applying machine learning and generative AI to meaningful, large-scale challenges, where your work will directly shape how millions of people interact with Apple products every day.

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• Senior Machine Learning Engineer, Proactive

  Machine Learning and AISep 14, 2026

  LocationSanta Clara

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  • ShareSenior Machine Learning Engineer, Proactive 200683565-3760

  • Role Number:  200683565-3760
  • Weekly Hours: 40 Hours

  At Apple, machine learning powers experiences that anticipate what people need before they ask. We're looking for a Senior Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent, context, and personal information while preserving privacy. In this role, you'll design, train, fine-tune, optimize, and deploy large language models, semantic retrieval systems, and ranking models that power relevant, personalized, and context-aware experiences across Apple's ecosystem.

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• Principal Applied Research Engineer/Scientist, Siri Labs

  Machine Learning and AISep 10, 2026

  LocationCupertino

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  • SharePrincipal Applied Research Engineer/Scientist, Siri Labs 200651756-0836

  • Role Number:  200651756-0836
  • 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 c...

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• Sr. Machine Learning Engineer, ML Systems Evaluation Engineering

  Machine Learning and AISep 10, 2026

  LocationCupertino

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  • ShareSr. Machine Learning Engineer, ML Systems Evaluation Engineering 200683055-0836

  • Role Number:  200683055-0836
  • 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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• Sr. Machine Learning Engineer, ML Systems Evaluation Engineering

  Machine Learning and AISep 10, 2026

  LocationSeattle

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  • ShareSr. Machine Learning Engineer, ML Systems Evaluation Engineering 200683055-3337

  • Role Number:  200683055-3337
  • 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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• Software Engineering Manager - Siri Evaluation, Developer Workflows

  Machine Learning and AISep 10, 2026

  LocationNew York City

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  • ShareSoftware Engineering Manager - Siri Evaluation, Developer Workflows 200674115-2459

  • Role Number:  200674115-2459
  • Weekly Hours: 40 Hours

  Siri's evaluation signal drives every model and product decision before a release ships. The Developer Workflows team, part of Siri's Agentic Evaluation Engineering organization, builds and maintains the next generation of developer workflows that Apple's internal teams rely on to evaluate what they build. We are looking for a hands-on engineering leader to run this team in New York and set its technical direction.

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• AIML - Machine Learning Research Lead, RL Agents, MLR

  Machine Learning and AISep 09, 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Research Lead, RL Agents, MLR 200674615-0836

  • Role Number:  200674615-0836
  • Weekly Hours: 40 Hours

  We are looking for a hands-on research lead to drive our work on reinforcement learning and post-training for agentic AI, and to manage a small team of senior researchers working on related problems in RL, agentic tool-calling, synthetic environment generation, model scaling, and multimodal action models. You will help set direction for how we develop infrastructure, training, runtime and evaluation procedures for interactive agents — tool calling, coding, computer use, and long-horizon tasks. This role sits inside a research organization pursuing first-principles approaches to core AI pro...

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