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Machine Learning Research Scientist | Engineer - Special Projects
Machine Learning and AI17 Apr 2026
LocationSanta Clara
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Role Number: 200652790-3760
Weekly Hours: 40 Hours
We are seeking ML research scientists and engineers with a strong background in machine learning, algorithms, decision making, and reinforcement learning to drive breakthrough innovations in intelligent systems. This position requires a hands-on approach to pioneer new technologies and bring them to life in entirely new product categories and form factors. If you thrive at the intersection of science, engineering, and product impact, this is your chance to make a visible mark at scale. You will work alongside world-class researchers and engineers, contributing to technologies that power th...
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Machine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling
Machine Learning and AI16 Apr 2026
LocationCupertino
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Role Number: 200588345-0836
Weekly Hours: 40 Hours
The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding-edge research and product-critical models. This is where the hardest problems in applied ML are being solved.
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Senior Research Manager, Multimodal Reasoning - SIML
Machine Learning and AI13 Apr 2026
LocationCupertino
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Role Number: 200657558-0836
Weekly Hours: 40 Hours
The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager in Multimodal Reasoning. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work (a) https://arxiv.org/pdf/2507.13575, (b) https://arxiv.org...
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On-Device Machine Learning Engineer
Machine Learning and AI13 Apr 2026
LocationSunnyvale
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Role Number: 200657024-3956
Weekly Hours: 40 Hours
We’re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of u...
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Staff Generative AI Research Engineer, Reasoning & Memory - SIML
Machine Learning and AI09 Apr 2026
LocationCupertino
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Role Number: 200656712-0836
Weekly Hours: 40 Hours
The System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Staff Applied Researcher in Reasoning & Memory Systems. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work (a) https://arxiv.org/pdf/2507.13575, (b) https:/...
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Research Engineer, Reasoning & Memory - SIML
Machine Learning and AI09 Apr 2026
LocationCupertino
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Role Number: 200656722-0836
Weekly Hours: 40 Hours
The System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Research Engineer in Reasoning & Memory Systems. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work (a) https://arxiv.org/pdf/2507.13575, (b) https://arxiv....
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Machine Learning Engineer - Health AIML
Machine Learning and AI31 Mar 2026
LocationCupertino
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Role Number: 200654670-0836
Weekly Hours: 40 Hours
Home Office: Yes
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 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 - Machine Learning Researcher, DMLI- Image/Video Generation
Machine Learning and AI31 Mar 2026
LocationSanta Clara
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Role Number: 200601297-3760
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 Researcher, DMLI- Image/Video Generation
Machine Learning and AI31 Mar 2026
LocationSeattle
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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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Data Scientist - Multimodal Training Data & Tools - SIML
Machine Learning and AI31 Mar 2026
LocationCupertino
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Role Number: 200654558-0836
Weekly Hours: 40 Hours
Are you passionate about Generative AI? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team operates at the intersection of multimodal machine learning and system experiences. It oversees a range of experiences such as System Experience (Springboard, Settings), Image Generation, Genmoji, Writing tools, Keyboards, Pencil & Paper, Generative Shortcuts - all powered by production scale ML workflows. Our multidisciplinary ML teams focus o...
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Machine Learning Engineer - Vision Products Software
Machine Learning and AI31 Mar 2026
LocationLos Angeles
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Role Number: 200643241-2605
Weekly Hours: 40 Hours
AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We’re looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy. In this role, you’ll work at the intersection of machine learning research and product engineering—rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You’ll con...
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Machine Learning Engineer - Vision Products Software
Machine Learning and AI31 Mar 2026
LocationSunnyvale
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Role Number: 200643241-3956
Weekly Hours: 40 Hours
AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We’re looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy. In this role, you’ll work at the intersection of machine learning research and product engineering—rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You’ll con...
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Manager, Machine Learning Research - SIML, ISE
Machine Learning and AI31 Mar 2026
LocationCupertino
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Role Number: 200634812-0836
Weekly Hours: 40 Hours
The Human and Object Understanding (HOUr) team at Apple is looking for ML leaders in the space of advanced face analysis. This is an opportunity to join a team that built the fundamental ML technologies behind a number of marquee features spanning Camera, Photos, Accessibility, Apple Wallet, Apple Intelligence, and more. We are looking for world class technology leaders that have the ability to translate ideas to action, and lead a team of experts to innovate, build, deploy and maintain groundbreaking face understanding and perception technologies to enable a variety of new features across...
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Machine Learning Engineer, Computer Vision - Strategic Data Solutions
Machine Learning and AI24 Mar 2026
LocationAustin
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Role Number: 200652434-0157
Weekly Hours: 40 Hours
Apple's Strategic Data Solutions (SDS) team is looking for a hard-working individual who is passionate about implementing and operating analytical solutions that have direct, measurable impact to Apple and its customers. As a CV MLE on the SDS team, you will build end-to-end solutions for preventing fraud, waste, and abuse while safeguarding the customer experience. The day-to-day work consists of identifying new fraud leads by connecting different data sources together; working with a team of annotators to curate a labeled image dataset; building computer vision pipelines or training ConvN...
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Machine Learning Software Engineer
Machine Learning and AI18 Mar 2026
LocationSunnyvale
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Role Number: 200652446-3956
Weekly Hours: 40 Hours
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply...
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AIML - Machine Learning Engineer - Computer Vision & Audio, MIND
Machine Learning and AI17 Mar 2026
LocationSeattle
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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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Visual Generation Framework Software Engineer - SIML, ISE
Machine Learning and AI13 Mar 2026
LocationSeattle
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Role Number: 200646318-3337
Weekly Hours: 40 Hours
The Visual Generation Framework team is seeking a senior engineer in ML software engineering. The primary responsibilities associated with this position include integration of research into production frameworks, defining the architecture and interoperability of frameworks in the system, root cause analysis and repair of performance bottlenecks, and collaborating closely with product teams before and after feature launch.
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Systems Software Engineering Manager, Vision Products Group
Machine Learning and AI13 Mar 2026
LocationSunnyvale
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Role Number: 200651512-3956
Weekly Hours: 40 Hours
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product or service we build 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 more than join something — you’ll add something....
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Senior Computer Vision Architect
Machine Learning and AI12 Mar 2026
LocationSunnyvale
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Role Number: 200651360-3956
Weekly Hours: 40 Hours
The Video Computer Vision organization within Video Engineering is a centralized applied research and engineering entity responsible for developing real-time on-device Computer Vision and Machine Perception technologies for Apple products. We strike a balance between research and product development to deliver Apple-quality, state-of-the-art experiences. We innovate across the full stack and collaborate with hardware, software, and machine learning teams to influence their roadmaps and enable Apple’s future product development.
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Applied Research Engineer — Multimodal AI
Machine Learning and AI11 Mar 2026
LocationSunnyvale
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Role Number: 200649931-3956
Weekly Hours: 40 Hours
The Video Computer Vision (VCV) organization is a centralized applied research and engineering team developing real-time, on-device Computer Vision and Machine Perception technologies across Apple products. Within VCV, the Multimodal Intelligence team builds next-generation multimodal AI systems that combine large language models, multimodal LLMs, and foundation models to create intelligent systems capable of understanding, reasoning, and acting across language, vision, audio, and tools. We develop multimodal agentic systems deeply integrated into the Apple ecosystem, partnering across hard...
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