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181 Result(s)

Machine Learning Engineer
Machine Learning and AI15 Sept 2026
LocationCupertino
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Role Number: 200683846-0836
Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we liv...
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Machine Learning Engineer - Notifications & Personalization
Machine Learning and AI15 Sept 2026
LocationCupertino
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Role Number: 200683064-0836
Weekly Hours: 40 Hours
Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part of the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day. We are responsible for personalizing core system experiences, such as helping you manage and summarize notifications, get the most relevant widgets in smart stacks, as well as predicting your next Focus. In our team you will bring expertise in machine learning and software engineering to train and deploy models that surprise a...
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Machine Learning Engineer, Natural Language Understanding, Proactive
Machine Learning and AI15 Sept 2026
LocationSanta Clara
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Role Number: 200683571-3760
Weekly Hours: 40 Hours
Apple's On-Device Query Understanding team is building the next generation of personalized, intelligent search. You will research and develop novel approaches in query understanding and machine learning modeling, creating the technology that enables seamless search and assistant experiences across Apple products. This is a role for someone passionate about applying machine learning and generative AI to meaningful, large-scale challenges, where your work will directly shape how millions of people interact with Apple products every day.
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Governance & Operations Lead, Infrastructure & Planning
Machine Learning and AI15 Sept 2026
LocationCupertino
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Role Number: 200683618-0836
Weekly Hours: 40 Hours
Apple’s Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple’s software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. We are seeking a founding Operations Lead with a passion for ML compute lifecycle management to build and own our governance and operat...
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Senior Machine Learning Engineer, Proactive
Machine Learning and AI14 Sept 2026
LocationSanta Clara
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Role Number: 200683565-3760
Weekly Hours: 40 Hours
At Apple, machine learning powers experiences that anticipate what people need before they ask. We're looking for a Senior Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent, context, and personal information while preserving privacy. In this role, you'll design, train, fine-tune, optimize, and deploy large language models, semantic retrieval systems, and ranking models that power relevant, personalized, and context-aware experiences across Apple's ecosystem.
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Machine Learning Research Engineer, ASE Search
Machine Learning and AI11 Sept 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 AI11 Sept 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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ML Infrastructure Engineer - ML Compute Capacity
Machine Learning and AI11 Sept 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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Senior Machine Learning Engineer, Apple Wallet
Machine Learning and AI11 Sept 2026
LocationCupertino
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Role Number: 200683100-0836
Weekly Hours: 40 Hours
Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security.
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Software Engineering Manager - Siri Evaluation, Developer Workflows
Machine Learning and AI10 Sept 2026
LocationNew York City
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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 - Health AIML
Machine Learning and AI09 Sept 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 AI08 Sept 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 AI08 Sept 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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Senior Systems Engineer - Special Projects
Machine Learning and AI04 Sept 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 AI04 Sept 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 AI04 Sept 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 AI03 Sept 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 AI03 Sept 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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AIML - Machine Learning Researcher, Foundation Models
Machine Learning and AI03 Sept 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 AI02 Sept 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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