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174 Result(s)

Machine Learning Engineer, Evaluation, Agentic Search Capabilities
Machine Learning and AI09 Oct 2026
LocationCupertino
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Role Number: 200670397-0836
Weekly Hours: 40 Hours
The Agentic Search team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search that powers experiences across Siri, Spotlight, Mail, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private.
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Machine Learning Engineer, Apple Services Engineering
Machine Learning and AI09 Oct 2026
LocationSeattle
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Role Number: 200687765-3337
Weekly Hours: 40 Hours
Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Design, build, and deploy recommendation models that personalize the App Store for billions of users worldwide! See your work touch the lives of billions of Apple users worldwide. The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple P...
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Applied Data Scientist - Operations Decision Intelligence
Machine Learning and AI08 Oct 2026
LocationSeattle
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Role Number: 200686918-3337
Weekly Hours: 40 Hours
Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the speed of our evaluation processes. We believe that to build exceptional AI, you need exceptional evaluation operation tools. Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quali...
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Applied AI Engineer
Machine Learning and AI07 Oct 2026
LocationCupertino
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Role Number: 200670689-0836
Weekly Hours: 40 Hours
Imagine building AI infrastructure at Apple — systems that power how products are made, how engineers think, and ultimately how hundreds of millions of people experience technology every day. Here is your opportunity to join an engineering team moving Apple's algorithms programs into the AI era. We are developing AI systems that enhance the way engineers work by incorporating human judgment and integrating with data and tools. Our aim is to seamlessly incorporate AI into our processes. We are looking for a software engineer who thrives at the intersection of data systems, AI tooling, and ...
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Senior Software Engineer, ASE Data Platform
Machine Learning and AI07 Oct 2026
LocationSeattle
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Role Number: 200687715-3337
Weekly Hours: 40 Hours
Join Apple and help shape the future of privacy-first data platforms at global scale. As part of Apple’s Data Platform organization, you will build systems that protect user data, ensure compliance with regulations like GDPR and CCPA, and enable teams to responsibly unlock the value of data. In this role, you’ll work at the intersection of engineering, privacy, and data and AI governance, designing innovative solutions for data protection, transparency, and accountability across Apple’s ecosystem. You’ll collaborate with world-class engineers, security experts, and legal partners to embed p...
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Sr Software Architect Perception Systems
Machine Learning and AI06 Oct 2026
LocationCupertino
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Role Number: 200686911-0836
Weekly Hours: 40 Hours
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 m...
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Distinguished Engineer, AI Infrastructure
Machine Learning and AI06 Oct 2026
LocationCupertino
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Role Number: 200687514-0836
Weekly Hours: 40 Hours
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 each of us believes we can create 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 more than join so...
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Distinguished Engineer, AI Infrastructure
Machine Learning and AI06 Oct 2026
LocationSeattle
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Role Number: 200687514-3337
Weekly Hours: 40 Hours
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 each of us believes we can create 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 more than join so...
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AIML - Manager, Applied AI Science - LLM/VLM-as-judge
Machine Learning and AI06 Oct 2026
LocationCupertino
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Role Number: 200661915-0836
Weekly Hours: 40 Hours
Do you get excited by building and leading a team that redefines how AI products are evaluated? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations. We are seeking an experienced and hands-on Manager to lead a team of Applied AI Scientists developing cutting-edge AI/ML models for the aut...
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On-Device ML Quality Infrastructure Engineer, Graphics, Games & ML
Machine Learning and AI05 Oct 2026
LocationCupertino
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Role Number: 200687237-0836
Weekly Hours: 40 Hours
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to embedded devices, optimization toolkits to optimize these models to b...
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On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning
Machine Learning and AI05 Oct 2026
LocationCupertino
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Role Number: 200687246-0836
Weekly Hours: 40 Hours
Imagine being at the forefront of an evolution where powerful 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 a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices....
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AIML - Quality Engineering Manager, Responsible AI and Safety
Machine Learning and AI02 Oct 2026
LocationCupertino
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Role Number: 200686455-0836
Weekly Hours: 40 Hours
Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
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AIML - Sr Software Engineer - AI, Evaluation
Machine Learning and AI01 Oct 2026
LocationCupertino
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Role Number: 200686891-0836
Weekly Hours: 40 Hours
Do you want to help build the next generation of Apple AI products? Our Evaluation organization measures quality across Apple Intelligence, Siri, and newest generative features, and our measurements directly inform launch decisions. Our team builds the platforms behind it: LLM-as-judge autograders, tools to validate them against human judgment, and systems that run them at scale. We are looking for a senior engineer to own a critical part of that platform and take it to the next level.
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Sr. Machine Learning Engineer
Machine Learning and AI01 Oct 2026
LocationSanta Clara
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Role Number: 200659417-3760
Weekly Hours: 40 Hours
Do you want to make Siri and Apple products safer for our users? The Siri and Information Intelligence 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. We are deeply committed to ensuring ...
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Sr. Machine Learning Engineer
Machine Learning and AI01 Oct 2026
LocationSeattle
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Role Number: 200659417-3337
Weekly Hours: 40 Hours
Do you want to make Siri and Apple products safer for our users? The Siri and Information Intelligence 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. We are deeply committed to ensuring ...
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Character Behavior Developer- Generative AI Experiences SW
Machine Learning and AI30 Sept 2026
LocationCupertino
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Role Number: 200686494-0836
Weekly Hours: 40 Hours
At Apple, we strive to make great products that empower people and improve their lives. We are looking for a great Character Behavior Designer to join our diverse team of engineers, artists and designers and help us take character interaction to the next level. This position focuses on the design of a character's responses to people and to its environment, with emphasis on expression, responsiveness, and timing, to push the limits of the next generation of interactive computing.
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Machine Learning Engineer - Proactive
Machine Learning and AI30 Sept 2026
LocationCupertino
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Role Number: 200686466-0836
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 work with large language models, semantic retrieval systems, and ranking models to design, optimize, and deploy relevant, personalized, and context-aware experiences across Apple's ecosystem.
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Governance & Operations Lead, Infrastructure & Planning
Machine Learning and AI29 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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Staff Machine Learning Engineer - Ads Bidding & Pacing
Machine Learning and AI29 Sept 2026
LocationCupertino
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Role Number: 200686204-0836
Weekly Hours: 40 Hours
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertis...
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Senior Data Scientist, Experimentation & Causal Inference
Machine Learning and AI28 Sept 2026
LocationCulver City
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Role Number: 200666441-0670
Weekly Hours: 40 Hours
At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization. Beyond individual experi...
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