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181 Result(s)

Machine Learning Research Engineer, ASE Search
Machine Learning and AISep 11, 2026
LocationCupertino
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Role Number: 200679268-0836
Weekly Hours: 40 Hours
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...
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Machine Learning Research Engineer, ASE Search
Machine Learning and AISep 11, 2026
LocationSeattle
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Role Number: 200679268-3337
Weekly Hours: 40 Hours
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...
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Software Engineering Manager - Siri Evaluation, Developer Workflows
Machine Learning and AISep 10, 2026
LocationNew York
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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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Machine Learning Engineer - Agentic AI Evaluation Frameworks
Machine Learning and AISep 09, 2026
LocationCupertino
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Role Number: 200681825-0836
Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, great ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your work, and there’s no telling what you could accomplish. The Channel Sales AI Product Engineering team is looking for a Machine Learning Evaluation Engineer to help build and scale evaluation capabilities for our next generation of AI-powered experiences. In this role, you will develop evaluation frameworks, datasets, tooling, and quality signals that enable teams to understand and continuously improve Gen...
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Machine Learning Engineer - Health AIML
Machine Learning and AISep 09, 2026
LocationCupertino
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Role Number: 200662966-0836
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 team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
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AIML - Software Engineer - AI, Evaluation
Machine Learning and AISep 08, 2026
LocationCupertino
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Role Number: 200679752-0836
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. Our team specializes in building LLM-as-judge and related tools to improve both the quality and efficiency of these evaluations. We are seeking a highly innovative and passionate AI software engineer to expand our tools and systems.
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Engineering Manager, Web Indexing
Machine Learning and AISep 08, 2026
LocationSanta Clara
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Role Number: 200682440-3760
Weekly Hours: 40 Hours
We’re looking for an Engineering Manager to lead the team that builds and scales the indexing infrastructure powering web and image search. The team runs both petabyte-scale offline batch pipelines and near-real-time indexing systems that turn web documents, images, and metadata into production-ready indexes. You’ll lead engineers across distributed computing, data processing, and storage, while partnering with crawling, ranking, ML, retrieval, and infrastructure teams to shape the long-term indexing strategy. This is a cross-functional leadership role requiring strong technical depth, orga...
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AIML - Machine Learning Engineer , Apple Foundation Models
Machine Learning and AISep 08, 2026
LocationCary
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Role Number: 200668999-1435
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. In this role, you will play a critical role shaping the future of our LLM efforts, specifically in transforming our models into highly capable, intelligent assistants that power billions of Apple products. You will tackle core training challenges in instruction following, tool use, deep reasoning, and architectural ad...
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Senior Systems Engineer - Special Projects
Machine Learning and AISep 04, 2026
LocationCupertino
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Role Number: 200681868-0836
Weekly Hours: 40 Hours
Apple is where individual imaginations gather together to do great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. We’d love to work with you.
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Machine Learning Researcher Multi-Modal Reasoning
Machine Learning and AISep 04, 2026
LocationCupertino
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Role Number: 200682033-0836
Weekly Hours: 40 Hours
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...
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Machine Learning Researcher Multi-Modal Reasoning
Machine Learning and AISep 04, 2026
LocationSeattle
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Role Number: 200682033-3337
Weekly Hours: 40 Hours
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...
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Senior Product Data Scientist, Media Services
Machine Learning and AISep 03, 2026
LocationCulver City
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Role Number: 200681003-0670
Weekly Hours: 40 Hours
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
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Senior Product Data Scientist, Media Services
Machine Learning and AISep 03, 2026
LocationCupertino
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Role Number: 200681003-0836
Weekly Hours: 40 Hours
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
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Full Stack Software Engineer - ML Compute Capacity
Machine Learning and AISep 03, 2026
LocationSanta Clara
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Role Number: 200681765-3760
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 - Machine Learning Researcher, Foundation Models
Machine Learning and AISep 03, 2026
LocationCupertino
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Role Number: 200667299-0836
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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On-device ML Infrastructure Engineer (Orchestration & Performance)
Machine Learning and AISep 02, 2026
LocationCupertino
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Role Number: 200680834-0836
Weekly Hours: 40 Hours
Imagine being at the forefront of an evolution where cutting-edge AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. Th...
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On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
Machine Learning and AISep 02, 2026
LocationCupertino
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Role Number: 200631247-0836
Weekly Hours: 40 Hours
Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This...
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On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
Machine Learning and AISep 02, 2026
LocationCupertino
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Role Number: 200658150-0836
Weekly Hours: 40 Hours
Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. Th...
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Full Stack Engineer, Graphics, Games, and ML
Machine Learning and AISep 01, 2026
LocationCupertino
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Role Number: 200680950-0836
Weekly Hours: 40 Hours
Make Apple's best developers even better. Partner cross-functionally with the Graphics, Gaming and Machine Learning macOS and iOS engineering teams to streamline workflows, eliminate bottlenecks, and multiply the impact of those building the operating systems that power innovation globally.
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AIML - Sr Machine Learning Research Scientist, Data and ML Innovation
Machine Learning and AIAug 31, 2026
LocationSeattle
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Role Number: 200668189-3337
Weekly Hours: 40 Hours
Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you.
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