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600+ Result(s)
- LocationCulver CityActions
- Role Number: 200657889-0670
- 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 Apple Media Products 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. We are currently seeking an experienced data scientist who is passionate ab...
Submit Resume - LocationShanghaiActions
- Role Number: 200639744-3715
- 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 mo...
Submit Resume - LocationSan FranciscoActions
- Role Number: 200646338-3577
- Weekly Hours: 40 Hours
We are seeking an exceptional Senior Data Scientist to join our Experimentation Data Science team. In this role, you will lead the development of cutting-edge statistical and causal inference methods, design and analyze large-scale experiments on Apple Media products, and partner closely with cross-functional teams to advance our strategic decision-making. You will bring deep research expertise, strong technical acumen, and the ability to translate complex insights into practical business recommendations. This is a high-impact role for someone who thrives at the intersection of research,...
Submit Resume - LocationSan DiegoActions
- Role Number: 200652696-3543
- Weekly Hours: 40 Hours
Imagine what you could do at Apple! Everyday, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. The Media Graphics Compute Technologies (MGC) group is at the center of audio, video, and graphics in Apple’s innovative products, including the iPhone, iPad, Mac, Apple Watch, AirPods, HomePod, Apple TV and Vision Pro. Our work directly impacts the end-user experience through impactful features such as Adaptive Noise Control, Conversation Awaren...
Submit Resume - Role Number: 200659972-0836
- 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 curiosity to your job and there's no telling what you could accomplish. The FDT Enablement Engineer is a strategic advisor and hands-on enabler within our Catalyst Program, focused on driving Finance workforce transformation. This role is pivotal in evolving Finance teams from manual data preparers to AI-enabled decision partners by bridging the gap between business strategy and technology implementation.
Submit Resume- LocationCupertinoActions
- Role Number: 200661963-0836
- Weekly Hours: 40 Hours
At Apple, extraordinary products begin with a deep understanding of the people who use them. The Product Marketing Analytics team sits at the intersection of data science and marketing strategy, transforming customer data into communications that resonate with Apple product owners worldwide. As a Senior Data Scientist, you will partner with Marketing Communications and cross-functional teams to develop insights, dashboards, and predictive models that enable more relevant and meaningful customer engagement. You will proactively identify opportunities, apply advanced analytical and AI-driven...
Submit Resume - LocationCupertinoActions
- Role Number: 200653217-0836
- Weekly Hours: 40 Hours
Would you like to help shape the future of Apple’s products and platforms while impacting some of the most widely used software in the world? The Apple Services Engineering (ASE) organization drives innovation behind Apple’s cloud-based experiences for over a billion global users — including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, and Notes. We build the infrastructure and intelligence that enable Apple’s ecosystem to deliver seamless, privacy‑first experiences every day. The ASE Data Organization plays a central role in this mission by embedding data‑informed thinking into ev...
Submit Resume - LocationSingaporeActions
- Role Number: 200640762-3278
- Weekly Hours: 40 Hours
The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionise entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple’s Channel Sales organisation works with the ecosystem of telecom operators and resellers that bring our products to customers around the world. Our teams collaborate with our partners to ensure they deliver the best c...
Submit Resume - Role Number: 200635648-0836
- Weekly Hours: 40 Hours
Apple’s intelligent systems generate rich, multi-modal data from devices, sensors, software, and services. We’re looking for a data scientist who can bring clarity to this complexity — someone who can analyze diverse datasets, surface meaningful insights, and design intuitive tools that help teams understand and improve the intelligence behind Apple products. You’ll work across the full data lifecycle: discovering signals in large-scale distributed logs, building search and retrieval mechanisms to make data accessible, and crafting interactive visualizations and evaluations that guide prod...
Submit Resume- Role Number: 200645820-0670
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. You bring passion and dedication to your job and there's no telling what you could accomplish. We're seeking a data scientist.
Submit Resume- Role Number: 200645820-0836
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. You bring passion and dedication to your job and there's no telling what you could accomplish. We're seeking a data scientist.
Submit Resume- Role Number: 200645307-0365
- Weekly Hours: 40 Hours
The Hardware Acoustic organization at Apple is dedicated to delivering industry-leading audio experiences across all our products. We are a multidisciplinary team of acoustic engineers, researchers, and machine learning experts who push the boundaries of sound quality, noise cancellation, and user interaction. Our Machine Learning Data team is the foundational backbone for these efforts. We are responsible for building the robust data infrastructure, pipelines, and analytical tools that enable the development, training, and evaluation of cutting-edge machine learning models for acoustic ap...
Submit Resume- LocationVarious Locations within New York City Metro AreaActions
- Role Number: 200618200-2621
- Weekly Hours: 40 Hours
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads Experimentation team is seeking a Machine Learning ...
Submit Resume - LocationVarious Locations within San Francisco Bay AreaActions
- Role Number: 200618200-3401
- Weekly Hours: 40 Hours
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads Experimentation team is seeking a Machine Learning ...
Submit Resume - Role Number: 200660358-3956
- Weekly Hours: 40 Hours
Do you have a passion for computer vision and solving deep learning problems? The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge! The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards. This rol...
Submit Resume- LocationNew York CityActions
- Role Number: 200650823-2459
- 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 advertisin...
Submit Resume - Role Number: 200650906-0351
- Weekly Hours: 40 Hours
At Apple, we believe in hard work, a fun environment, and the creativity and innovation that come from diverse perspectives. The people here at Apple don’t just build products — they create the kind of wonder that revolutionizes entire industries. It’s the diversity of those people and their ideas that inspires the innovation running through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences v...
Submit Resume- Role Number: 200631850-0836
- Weekly Hours: 40 Hours
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
Submit Resume- Role Number: 200660649-0836
- 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. The AIML Evaluation org works with teams across Apple to build platforms, create methodologies, and enable partners to measure, understand, and proactively improve their products. We are looking for an outstanding candidate to become a member of the Evaluation team to help own and drive part of our technical portfolio for Apple Intelligence. Our work ensures tha...
Submit Resume- Role Number: 200627051-3337
- Weekly Hours: 40 Hours
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
Submit Resume