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• AIML - Machine Learning Engineer, Responsible AI

  Machine Learning and AIDec 13, 2025

  LocationCupertino

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  • ShareAIML - Machine Learning Engineer, Responsible AI 200636392-0836

  • Role Number:  200636392-0836
  • Weekly Hours: 40 Hours

  Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple’s Generative-AI powered features and products. In this role you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation,...

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• AIML - Machine Learning Engineer, Responsible AI

  Machine Learning and AIDec 13, 2025

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, Responsible AI 200636392-3337

  • Role Number:  200636392-3337
  • Weekly Hours: 40 Hours

  Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple’s Generative-AI powered features and products. In this role you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation,...

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• AIML Resident - Machine Learning Research (Speech)

  Machine Learning and AIDec 12, 2025

  LocationCupertino

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  • ShareAIML Resident - Machine Learning Research (Speech) 200630777-0836

  • Role Number:  200630777-0836
  • Weekly Hours: 40 Hours

  Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML Resident - Search & Answer Quality EPM

  Machine Learning and AIDec 12, 2025

  LocationCupertino

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  • ShareAIML Resident - Search & Answer Quality EPM 200630787-0836

  • Role Number:  200630787-0836
  • Weekly Hours: 40 Hours

  Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML Resident - Responsible AI & Human Evaluation

  Machine Learning and AIDec 12, 2025

  LocationCambridge

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  • ShareAIML Resident - Responsible AI & Human Evaluation 200630788-1242

  • Role Number:  200630788-1242
  • Weekly Hours: 40 Hours

  Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML Resident - Knowledge Answer Quality & Richness

  Machine Learning and AIDec 12, 2025

  LocationSanta Clara

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  • ShareAIML Resident - Knowledge Answer Quality & Richness 200630798-3760

  • Role Number:  200630798-3760
  • Weekly Hours: 40 Hours

  Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML Resident - Knowledge Answer Quality & Richness

  Machine Learning and AIDec 12, 2025

  LocationSeattle

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  • ShareAIML Resident - Knowledge Answer Quality & Richness 200630798-3337

  • Role Number:  200630798-3337
  • Weekly Hours: 40 Hours

  Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML - Data Scientist, Evaluation

  Machine Learning and AIDec 12, 2025

  LocationCupertino

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  • ShareAIML - Data Scientist, Evaluation 200636357-0836

  • Role Number:  200636357-0836
  • Weekly Hours: 40 Hours

  Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Evaluation organization is to improve products by using data as the voice of our customers. Within this organization the mission of the Data Science and Insight team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Apple Intelligence engineering teams to improve product quality and guide feature development with data, to deliver amazing experien...

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• AIML - Data Scientist, Evaluation

  Machine Learning and AIDec 12, 2025

  LocationSeattle

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  • Role Number:  200636357-3337
  • Weekly Hours: 40 Hours

  Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Evaluation organization is to improve products by using data as the voice of our customers. Within this organization the mission of the Data Science and Insight team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Apple Intelligence engineering teams to improve product quality and guide feature development with data, to deliver amazing experien...

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• Senior Machine Learning Engineering Manager – Ads Predictions

  Machine Learning and AIDec 11, 2025

  LocationNew York City

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  • ShareSenior Machine Learning Engineering Manager – Ads Predictions 200635732-2459

  • Role Number:  200635732-2459
  • Weekly Hours: 40 Hours

  At Apple, we strive every day to create products that enrich people’s lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. 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...

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• AIML Resident - Input Experience NLP

  Machine Learning and AIDec 11, 2025

  LocationCupertino

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  • ShareAIML Resident - Input Experience NLP 200630840-0836

  • Role Number:  200630840-0836
  • Weekly Hours: 40 Hours

  Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML - Sr Data Engineer, Evaluation

  Machine Learning and AIDec 11, 2025

  LocationSeattle

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  • ShareAIML - Sr Data Engineer, Evaluation 200621026-3337

  • Role Number:  200621026-3337
  • Weekly Hours: 40 Hours

  The SWE Data organization seeks to improve products by using data as the voice of our customers. Within this organization, the Search Data Engineering team builds systems that process data reliably at scale to generate high-quality datasets that support confident, data informed decision-making for improving understanding capabilities of Search capabilities. We’re looking for exceptional data engineers who are passionate about our product and values; who love working with data at scale, and who are committed to continuously improve. As a part of this group, you will work with petabytes of d...

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

  Machine Learning and AIDec 10, 2025

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer, Data and ML Innovation 200636179-0836

  • Role Number:  200636179-0836
  • Weekly Hours: 40 Hours

  The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products that enable Apple Foundation Model team to quickly identify model soft spots and iterate on improving model capabilities. As a UI Engineer on the team, you will work on an internal product that showcases the power of Apple Foundation Model and provides valuable data for model hillclimbing.

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AIDec 10, 2025

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200596935-0836

  • Role Number:  200596935-0836
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AIDec 10, 2025

  LocationNew York City

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200596935-2459

  • Role Number:  200596935-2459
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AIDec 10, 2025

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200596935-3337

  • Role Number:  200596935-3337
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AIDec 10, 2025

  LocationCupertino

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

  • Role Number:  200617642-0836
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AIDec 10, 2025

  LocationNew York City

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

  • Role Number:  200617642-2459
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AIDec 10, 2025

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200617642-3337

  • Role Number:  200617642-3337
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.

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

  Machine Learning and AIDec 10, 2025

  LocationSanta Clara

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  • ShareAIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI) 200635860-3760

  • Role Number:  200635860-3760
  • Weekly Hours: 40 Hours

  Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of apple intelligence, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more. In our team, you will be leveraging and improving upon the latest LLM/ML techniq...

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