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• ML Agent Engineer

  Machine Learning and AI14. 7. 2026

  LocationVarious locations within Seattle Metro Area

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  • ShareML Agent Engineer 200672464

  • Role Number:  200672464
  • Weekly Hours: 40 Hours

  We're seeking research engineers to build systems for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality agent harnesses, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms

  Machine Learning and AI14. 7. 2026

  LocationSeattle

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  • ShareStaff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms 200672425-3337

  • Role Number:  200672425-3337
  • Weekly Hours: 40 Hours

  Imagine what you could do here. At Apple, great ideas quickly become extraordinary products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what you could accomplish. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find wha...

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• Principal Research Scientist, Siri Innovation Studio

  Machine Learning and AI13. 7. 2026

  LocationSeattle

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  • SharePrincipal Research Scientist, Siri Innovation Studio 200667331-3337

  • Role Number:  200667331-3337
  • 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 c...

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• Machine Learning Engineer, SIML

  Machine Learning and AI06. 7. 2026

  LocationSeattle

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  • ShareMachine Learning Engineer, SIML 200661302-3337

  • Role Number:  200661302-3337
  • Weekly Hours: 40 Hours

  Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizati...

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• Machine Learning Research Scientist - Health AIML

  Machine Learning and AI30. 6. 2026

  LocationSeattle

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  • ShareMachine Learning Research Scientist - Health AIML 200649925-3337

  • Role Number:  200649925-3337
  • Weekly Hours: 40 Hours

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• Machine Learning Research Scientist - Health AIML

  Machine Learning and AI30. 6. 2026

  LocationSeattle

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  • ShareMachine Learning Research Scientist - Health AIML 200670570-3337

  • Role Number:  200670570-3337
  • Weekly Hours: 40 Hours

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI24. 6. 2026

  LocationSeattle

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

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

  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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• AIML - ML Researcher, AFM

  Machine Learning and AI24. 6. 2026

  LocationSeattle

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  • ShareAIML - ML Researcher, AFM 200607600-3337

  • Role Number:  200607600-3337
  • Weekly Hours: 40 Hours

  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 Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Machine Learning and AI09. 6. 2026

  LocationVarious locations within Seattle Metro Area

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

  • Role Number:  200667449
  • Weekly Hours: 40 Hours

  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 cl...

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Machine Learning and AI27. 5. 2026

  LocationSeattle

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  • ShareAIML Researcher/Engineer - Foundation Model Post-Training 200662944-3337

  • Role Number:  200662944-3337
  • Weekly Hours: 40 Hours

  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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• Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

  Machine Learning and AI14. 5. 2026

  LocationSeattle

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  • ShareSenior Machine Learning Engineer, Apple Search & Knowledge Platforms 200641779-3337

  • Role Number:  200641779-3337
  • Weekly Hours: 40 Hours

  The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge...

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• Staff Applied Scientist, AI Quality & Meta Evaluation

  Machine Learning and AI04. 5. 2026

  LocationSeattle

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  • ShareStaff Applied Scientist, AI Quality & Meta Evaluation 200661039-3337

  • Role Number:  200661039-3337
  • Weekly Hours: 40 Hours

  Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them.

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• Senior Machine Learning Manager, Answers, Search & Knowledge Platforms

  Machine Learning and AI24. 4. 2026

  LocationSeattle

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  • ShareSenior Machine Learning Manager, Answers, Search & Knowledge Platforms 200646250-3337

  • Role Number:  200646250-3337
  • Weekly Hours: 40 Hours
  • Home Office: Yes

  Do you want to make Siri and Apple products smarter for our users? The Search & Knowledge Platform team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more.

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• AIML - Site Lead & Lead Researcher, Foundation Models

  Machine Learning and AI15. 4. 2026

  LocationSeattle

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  • ShareAIML - Site Lead & Lead Researcher, Foundation Models 200658199-3337

  • Role Number:  200658199-3337
  • Weekly Hours: 40 Hours

  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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• AI Experience Researcher, Product Evaluation, Vision Products Group

  Machine Learning and AI01. 4. 2026

  LocationSeattle

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  • ShareAI Experience Researcher, Product Evaluation, Vision Products Group 200655171-3337

  • Role Number:  200655171-3337
  • Weekly Hours: 40 Hours

  We are seeking a highly motivated and analytical AI Experience Researcher to join our team. This role blends cognitive and human sciences, data sciences, systems design, and product evaluation to ensure AI-powered products deliver exceptional and intuitive customer experiences. You will work alongside a small but impactful team, collaborating with ML and data scientists, software engineers, designers, project managers, and other cross-functional teams at Apple to define success criteria for AI experiences, and create rigorous evaluations that measure these criteria in iterative product deve...

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• Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

  Machine Learning and AI01. 4. 2026

  LocationSeattle

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  • ShareSenior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms 200648349-3337

  • Role Number:  200648349-3337
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. You will lead the strong team of MLE, SWE, and data engineers responsible f...

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• AIML - Machine Learning Researcher, DMLI- Image/Video Generation

  Machine Learning and AI31. 3. 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, DMLI- Image/Video Generation 200601297-3337

  • Role Number:  200601297-3337
  • Weekly Hours: 40 Hours

  We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and del...

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• AIML - Machine Learning Engineer - Computer Vision & Audio, MIND

  Machine Learning and AI17. 3. 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer - Computer Vision & Audio, MIND 200649665-3337

  • Role Number:  200649665-3337
  • Weekly Hours: 40 Hours

  The Machine Intelligence, Neural Design (MIND) team, part of Apple’s AIML organization, is leading Apple-wide innovation on HW/SW co-design for efficient inference. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects. We are seeking a hands-on Machine Learning Engineer to drive the data & evaluation lifecycle for our production models. In this role, you will focus on designing and scaling high-performa...

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Machine Learning and AI12. 3. 2026

  LocationSeattle

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  • ShareAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-3337

  • Role Number:  200648559-3337
  • Weekly Hours: 40 Hours

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning Engineer, MIND

  Machine Learning and AI11. 3. 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, MIND 200651341-3337

  • Role Number:  200651341-3337
  • Weekly Hours: 40 Hours

  As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafti...

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