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• AIML - Data Scientist, Evaluation

  Machine Learning and AIFeb 13, 2026

  LocationCupertino

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  • ShareAIML - Data Scientist, Evaluation 200637217-0836

  • Role Number:  200637217-0836
  • 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? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.

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• AIML - Data Scientist, Evaluation

  Machine Learning and AIFeb 13, 2026

  LocationSeattle

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  • ShareAIML - Data Scientist, Evaluation 200637217-3337

  • Role Number:  200637217-3337
  • 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? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.

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• Full-Stack Software Engineer

  Machine Learning and AIFeb 13, 2026

  LocationSan Diego

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  • ShareFull-Stack Software Engineer 200643395-3543

  • Role Number:  200643395-3543
  • Weekly Hours: 40 Hours

  At Apple, great ideas grow when diverse perspectives come together. Every product, service, and experience we create is built by people who care deeply about quality, collaboration, and learning. When we bring everybody in, we do the best work of our lives and here, you’ll do more than join something. You’ll add something. We are looking for a Full-Stack Software Engineer to join the VEDI ML Tools & Workflows team. This role is ideal for engineers early in their career who are excited to work at the intersection of machine learning infrastructure, data systems, and intuitive developer-faci...

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• AIML Senior Capacity Engineer - Apple Services Engineering

  Machine Learning and AIFeb 12, 2026

  LocationSanta Clara

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  • ShareAIML Senior Capacity Engineer - Apple Services Engineering 200646657-3760

  • Role Number:  200646657-3760
  • Weekly Hours: 40 Hours

  Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple’s Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.

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• AIML - Sr Machine Learning Engineer, Responsible AI

  Machine Learning and AIFeb 12, 2026

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer, Responsible AI 200636400-0836

  • Role Number:  200636400-0836
  • 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 - Sr Machine Learning Engineer, Responsible AI

  Machine Learning and AIFeb 12, 2026

  LocationSeattle

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  • ShareAIML - Sr Machine Learning Engineer, Responsible AI 200636400-3337

  • Role Number:  200636400-3337
  • 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 - Staff Machine Learning Engineer

  Machine Learning and AIFeb 12, 2026

  LocationSanta Clara

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  • ShareAIML - Staff Machine Learning Engineer 200633008-3760

  • Role Number:  200633008-3760
  • Weekly Hours: 40 Hours

  The AIML Information Intelligence 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. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state-of-the-art generative AI technologies based on Large Language Model to power innovative features in both Apple’s dev...

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• Senior Software QE Manager

  Machine Learning and AIFeb 12, 2026

  LocationVarious Locations within San Francisco Bay Area

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  • ShareSenior Software QE Manager 200646493-3401

  • Role Number:  200646493-3401
  • Weekly Hours: 40 Hours

  At Apple, we strive to make great products that empower people and improve their lives. We believe Generative AI has the potential to unlock new experiences that were never possible before, and are looking for a talented Senior Software Quality Manager to realize that mission by expanding the capabilities of Apple products and platforms.

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• Senior iOS Software Engineering Manager – Generative AI Experiences & Frameworks

  Machine Learning and AIFeb 12, 2026

  LocationVarious Locations within San Francisco Bay Area

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  • ShareSenior iOS Software Engineering Manager – Generative AI Experiences & Frameworks 200646489-3401

  • Role Number:  200646489-3401
  • Weekly Hours: 40 Hours

  At Apple, we strive to make great products that empower people and improve their lives. We believe Generative AI has the potential to unlock new experiences that were never possible before, and are looking for a talented Senior iOS SW Manager to realize that mission by expanding the capabilities of Apple products and platforms.

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• AIML - Senior Applied Machine Learning Engineer, ML Lifecycle (MLPT)

  Machine Learning and AIFeb 11, 2026

  LocationCupertino

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  • ShareAIML - Senior Applied Machine Learning Engineer, ML Lifecycle (MLPT) 200643839-0836

  • Role Number:  200643839-0836
  • Weekly Hours: 40 Hours

  We’re building the foundation for intelligent, adaptive AI systems from multi-agent platforms and RAG pipelines to advanced evaluation and reasoning frameworks. We’re looking for a Senior Applied ML Engineer to design, build, and scale machine learning systems that power next-generation AI applications. In this role, you’ll work at the intersection of machine learning, software engineering, helping develop foundational components that enable AI systems to perceive, reason, and act in dynamic, real-world contexts. You’ll be part of a high-impact team shaping how we build, evaluate, and deplo...

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• AIML - Senior Applied Machine Learning Engineer, ML Lifecycle (MLPT)

  Machine Learning and AIFeb 11, 2026

  LocationSeattle

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  • ShareAIML - Senior Applied Machine Learning Engineer, ML Lifecycle (MLPT) 200643839-3337

  • Role Number:  200643839-3337
  • Weekly Hours: 40 Hours

  We’re building the foundation for intelligent, adaptive AI systems from multi-agent platforms and RAG pipelines to advanced evaluation and reasoning frameworks. We’re looking for a Senior Applied ML Engineer to design, build, and scale machine learning systems that power next-generation AI applications. In this role, you’ll work at the intersection of machine learning, software engineering, helping develop foundational components that enable AI systems to perceive, reason, and act in dynamic, real-world contexts. You’ll be part of a high-impact team shaping how we build, evaluate, and deplo...

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• Machine Learning Engineer, Siri Core Modeling

  Machine Learning and AIFeb 11, 2026

  LocationVarious Locations within San Francisco Bay Area

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  • ShareMachine Learning Engineer, Siri Core Modeling 200646481-3401

  • Role Number:  200646481-3401
  • Weekly Hours: 40 Hours

  The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done — just by asking.

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• Machine Learning Manager, Gen AI Frameworks Team

  Machine Learning and AIFeb 11, 2026

  LocationNew York City

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  • ShareMachine Learning Manager, Gen AI Frameworks Team 200645833-2459

  • Role Number:  200645833-2459
  • Weekly Hours: 40 Hours

  At Apple, we believe machine learning should be deeply integrated, thoughtfully engineered, and responsibly deployed at massive scale. Within the Generative AI Frameworks team, we are building the foundational ML platforms and frameworks that enable teams across the organization to create intelligent, privacy-preserving, and high-impact experiences for millions of users worldwide. We are looking for an Engineering Manager to lead the development of end-to-end machine learning frameworks that power how models are built, trained, evaluated, and deployed across Apple's services. In this role,...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AIFeb 11, 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200636950-0836

  • Role Number:  200636950-0836
  • 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 AIFeb 11, 2026

  LocationNew York City

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200636950-2459

  • Role Number:  200636950-2459
  • 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 AIFeb 11, 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200636950-3337

  • Role Number:  200636950-3337
  • 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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• Full-Stack Software Engineer

  Machine Learning and AIFeb 10, 2026

  LocationSunnyvale

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  • ShareFull-Stack Software Engineer 200646309-3956

  • Role Number:  200646309-3956
  • Weekly Hours: 40 Hours

  At Apple, great ideas grow when diverse perspectives come together. Every product, service, and experience we create is built by people who care deeply about quality, collaboration, and learning. When we bring everybody in, we do the best work of our lives and here, you’ll do more than join something. You’ll add something. We are looking for a Full-Stack Software Engineer to join the VEDI ML Tools & Workflows team. This role is ideal for engineers early in their career who are excited to work at the intersection of machine learning infrastructure, data systems, and intuitive developer-faci...

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• Software Engineering Manager, ML Infrastructure - Creator Studio

  Machine Learning and AIFeb 10, 2026

  LocationCary

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  • ShareSoftware Engineering Manager, ML Infrastructure - Creator Studio 200646105-1435

  • Role Number:  200646105-1435
  • Weekly Hours: 40 Hours

  At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. You bring passion and dedication to your job and there is no telling what you could accomplish. The Creator Studio team is looking for an engineering manager with expertise in machine learning to build and lead a team of engineers building framework-level tooling for creative applications. You’ll be working with the world-class teams behind Final Cut Pro, Logic Pro, and iWork to create next-generation tools for creators.

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• Software Engineering Manager, ML Infrastructure - Creator Studio

  Machine Learning and AIFeb 10, 2026

  LocationPittsburgh

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  • ShareSoftware Engineering Manager, ML Infrastructure - Creator Studio 200646105-2926

  • Role Number:  200646105-2926
  • Weekly Hours: 40 Hours

  At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. You bring passion and dedication to your job and there is no telling what you could accomplish. The Creator Studio team is looking for an engineering manager with expertise in machine learning to build and lead a team of engineers building framework-level tooling for creative applications. You’ll be working with the world-class teams behind Final Cut Pro, Logic Pro, and iWork to create next-generation tools for creators.

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• Software Engineering Manager, ML Infrastructure - Creator Studio

  Machine Learning and AIFeb 10, 2026

  LocationSan Diego

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  • ShareSoftware Engineering Manager, ML Infrastructure - Creator Studio 200646105-3543

  • Role Number:  200646105-3543
  • Weekly Hours: 40 Hours

  At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. You bring passion and dedication to your job and there is no telling what you could accomplish. The Creator Studio team is looking for an engineering manager with expertise in machine learning to build and lead a team of engineers building framework-level tooling for creative applications. You’ll be working with the world-class teams behind Final Cut Pro, Logic Pro, and iWork to create next-generation tools for creators.

  Submit Resume