Machine Learning and AI

Play a part in the next revolution in human- computer interaction. Collaborate with software engineers as well as machine learning engineers/ scientists in several technical areas spanning the entire range of Siri's capabilities (speech recognition, natural language understanding, dialogue management). Have the opportunity to innovate, create groundbreaking technology, build prototypes of user-facing features and magical experiences, and work with a cross-functional team to ship these magical experiences to millions of users. ...

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 more than join something — you’ll add something. As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people! ...

Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the Data Team of the System Intelligence and Machine Learning (SIML) group at Apple. We build high quality ML datasets, from very small targeted sets to petabyte scale, to train and evaluate ML models that power AI-centric features for many Apple products. Our datasets help power intelligent algorithms on Camera and the Photos app, improve text input experiences (autocorrect, autocompletion, OCR) and more recently feed generative technologies in Apple Intelligence (Image Playground, Genmoji, Writing Tools, Math Notes…)We’re looking for an exceptional engineering lead who is passionate about Apple products and values; who loves working with data ops at scale; and who is committed to the hard work vital to continuously improve complex ML data pipelines and data infrastructure. AI-centric products are the future of software; at their core, data is the source code of AI, a key component of innovation and inclusive and fair ML products. We invite you to join us at this exciting time; grow fast and positively impact multiple critical features on your first day at Apple! ...

Join us as we build the best products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a technical leader with a strong record in Applied Research passionate about ML and Human-Computer Interaction, mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead and build an organization accountable for researching and making ML technologies that enable breakthrough user experiences while upholding Apple's values and quality standards. ...

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. MIND is well-positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products.Are you excited to innovate in the entire end-to-end ML production pipeline? This includes but is not limited to crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations. ...

Play a part in the next revolution in human-computer interaction. Build groundbreaking technology to make Apple Intelligence available in different culture and regions worldwide. The AI/ML - Machine Translation team is looking for machine learning engineer passionate about delighting customer’s experience and pushing the envelope on AIML technologies, data quality and system efficiency. ...

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 more than join something — you’ll add something.Apple’s AI and Machine Learning Communications team is focused on inspiring, informing and connecting Apple employees with the knowledge and tools for working in Machine Learning. Our team works to deliver exceptional content in many forms—events, video, text, graphic design, motion, and more. We are excited by the many ways we can create inspiring and memorable content and experiences. ...

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 more than join something — you’ll add something.As part of Apple Intelligence, this team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people! ...

The Siri NL team is creating groundbreaking technology for machine learning, natural language understanding, and artificial intelligence. The features we create are redefining how hundreds of millions of people use their computers and mobile devices in their day-to-day tasks. As an ontologist, you will have the opportunity to directly impact Siri's ability to understand what people want by designing and building the standards for Siri's internal meaning representation. ...

We are looking for an experienced and versatile QA Engineer to ensure that we deliver the best in-class machine learning solution for all Apple products. You will be passionate about testing the firmware/driver, developing automation frameworks and tools for validating core components that are part of Apple Intelligence Framework. You will work closely with software development team to build and implement test plans focused on qualifying firmware and drivers to ensure we ship a quality product. You must be comfortable working in a dynamic environment and possess a strong interest in learning new technologies. You should have a history of working on successful, large-volume consumer products. ...

As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and NLP. Our innovative product redefines computing by leveraging cutting-edge technologies in Natural Language Understanding and Conversational AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide.We are seeking a highly skilled Senior Machine Learning Engineer specializing in NLP/Conversational AI to join our dynamic team. The ideal candidate will play a pivotal role in the evaluation and enhancement of our Apple Intelligence products. They will collaborate closely with cross-functional teams to implement and optimize models, ensuring the highest level of performance, accuracy, and scalability. This role offers an exciting opportunity to contribute to the advancement of AI systems and shape the future of computing.As a Machine Learning Engineer within the Siri team, you will define new approaches for evaluating state-of-the-art ML based systems, conversational AI, and model interpretability. You will collaborate with different modeling teams, and product managers to conduct thorough evaluation and analysis of Apple Intelligence products and models, identifying areas for improvement and optimization. You will work with large amounts of real-world data to analyze and propose changes to the Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc. Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on state-of-the-art deployed models and predictors ...

Imagine what you could do here. At Apple, great 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.Do you want to make Siri and Apple products ever smarter for our users? The Foundation Model Batch Inference team are building groundbreaking technology for large scale inference of foundation models, including state-of-the-art large language models (LLMs) and multimodal models. Our batch inference platform powers billions of foundation model inference queries across a variety of Apple products.As part of this group, you will work with one of the most exciting high performance computing environments for foundation models inference, with petabytes of data and billions of queries, and have an opportunity to imagine and build products that delight our customers every single day. ...

The Video Computer Vision org within Video Engineering is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life. ...

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 more than join something — you’ll add something.As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people! ...

Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products & services? In Apple’s Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications. As a team, we have a variety of technical backgrounds, from machine learning PhDs to builders of large-scale production systems. Specifically in this role you will be working on optimizing end-to-end system performance of distributed machine learning workloads. This is a highly collaborative role and you will be working with key partners across the company. ...

As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning. Our innovative product redefines computing by using powerful technologies in speech and audio domain. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. We are seeking a highly skilled Senior Machine Learning Engineer specializing in speech and audio technologies to join our dynamic team. The ideal candidate will play a pivotal role in the evaluation and enhancement of our product's speech and audio capabilities. They will collaborate closely with multi-functional teams to implement and optimize speech and audio, ensuring the highest level of quality, performance, accuracy, and scalability. This role offers a great opportunity to contribute to the advancement of AI systems and shape the future of computing. As a Machine Learning Engineer within the Siri team, you will define new approaches for evaluating speech and audio to enhance product capabilities. You will collaborate with various language engineers, modeling teams, and product managers to conduct thorough evaluation and analysis of speech and audio. Your expertise in defining and measuring the quality and intelligibility of a speech signal will help communicate, evaluate, and iterate on innovative deployed models and predictors. ...

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users. ...

Our team is an applied research and engineering team responsible for developing real-time on-device Language, Computer Vision, and Machine Perception technologies across Apple products. We focus on technology research and development to deliver Apple quality, state-of-the-art experiences. Our team prides itself on innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.We are directly responsible for the on-device optimization and deployment of the Apple Intelligence LLM and diffusion models. As a Machine Learning Engineer, you will have the opportunity to be at the forefront of technological advancements and contribute to the successful shipping and delivery of Apple intelligence. You will be responsible for implementing and delivering various optimization techniques that improve the performance of large language and diffusion models on devices. Additionally, you will collaborate with a diverse range of organizations within Apple. Your innovations will significantly impact the entire ML model lifecycle of Apple intelligence. ...

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 more than join something — you’ll add something.As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate program manager to bring efficiency, process, and standardization to the organization.This position will play a meaningful role in the DMLI Chief of Staff team. The successful candidate will have a proactive approach with the ability to work independently and collaboratively on a wide range of projects. This role is designed to bring efficiency, process, and standardization to the organization. The ideal candidate would possess strong project management competence, distinctive analytical skills, and be great with people. ...

Imagine what you could do here. At Apple, great 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. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. ...