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Machine Learning Engineer - Agentic AI Evaluation Frameworks
Apprendimento automatico e intelligenza artificiale09 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200681825-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale09 set 2026
Area geograficaCupertino
Azioni
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Numero ruolo: 200662966-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale08 set 2026
Area geograficaCupertino
Azioni
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Numero ruolo: 200679752-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale08 set 2026
Area geograficaSanta Clara
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200682440-3760
Ore settimanali: 40 Ore
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 Enginner, Apple Foundation Models
Apprendimento automatico e intelligenza artificiale08 set 2026
Area geograficaCary
Azioni
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Numero ruolo: 200668999-1435
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale04 set 2026
Area geograficaCupertino
Azioni
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Numero ruolo: 200681868-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale04 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200682033-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale04 set 2026
Area geograficaSeattle
Azioni
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Numero ruolo: 200682033-3337
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale03 set 2026
Area geograficaCulver City
Azioni
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Numero ruolo: 200681003-0670
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale03 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200681003-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale03 set 2026
Area geograficaSanta Clara
Azioni
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Numero ruolo: 200681765-3760
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale03 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200667299-0836
Ore settimanali: 40 Ore
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)
Apprendimento automatico e intelligenza artificiale02 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200680834-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale02 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200631247-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale02 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200658150-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale01 set 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200680950-0836
Ore settimanali: 40 Ore
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
Apprendimento automatico e intelligenza artificiale31 ago 2026
Area geograficaSeattle
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200668189-3337
Ore settimanali: 40 Ore
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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Perception Algorithm Engineer
Apprendimento automatico e intelligenza artificiale31 ago 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200681047-0836
Ore settimanali: 40 Ore
Apple is where individual imaginations gather together, committing to the values that lead to 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. Here, you’ll do...
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AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure
Apprendimento automatico e intelligenza artificiale31 ago 2026
Area geograficaVarie aree geografiche – San Francisco Bay Area
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200680978-3401
Ore settimanali: 40 Ore
Apple is where individual imaginations gather together, committing to the values that lead to 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. Here, you’ll do mo...
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Senior ML Platform Engineer - Agentic Systems - Special Projects
Apprendimento automatico e intelligenza artificiale31 ago 2026
Area geograficaCupertino
Azioni
Vedi descrizione completa del ruolo
Numero ruolo: 200651030-0836
Ore settimanali: 40 Ore
Apple is where individual imaginations gather together, committing to the values that lead to 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. Here, you’ll do mo...
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