Cupertino

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks. By applying to this position, your application will be considered for all locations we hire for in the United States.Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel, Annarpuna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.The Annapurna team hires for multiple disciplines Software and Hardware engineers including but not limited to compiler engineer, machine learning engineer, runtime engineer, performance engineer and ML chip accelerator, ASIC, physical designs, SDE in Test. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.If this sounds exciting to you - come build the future with us!Key job responsibilitiesInnovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safetyWriting requirements capturing documents, design documents, integration test plans, and deployment plansCommunicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholders- Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2025 and September 2026- Programming experience in internship or coursework with programming language such as Python and/or C or C++- Candidates with strong interests and academic qualifications/research focus in two of the following: 1. Knowledge of code generation, compute graph optimization, resource scheduling, 2. Data structure and algorithms, 3. Compiler - Optimizing compilers (internals of llvm, clang, etc), 4. Machine Learning - Experience with XLA, TVM, MLIR, LLVM, 5. Deep learning models and algorithms, 6. Tensorflow, PyTorch, or MxNET frameworks- Knowledge of code generation, compute graph optimization, resource scheduling Previous technical internship(s), if applicable.- Experience in optimization mathematics such as linear programming and nonlinear optimization.- Ability to effectively articulate technical challenges and solutions.- Adept at handling ambiguous or undefined problems as well as ability to think abstractly.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47.84/hr in our lowest geographic market up to $96.15/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel, and Amazon is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.We hire for multiple disciplines Software and Hardware engineers including but not limited to: compiler engineer, machine learning engineer, runtime engineer, performance engineer and ML chip accelerator, ASIC, physical designs. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.If this sounds exciting to you - come build the future with us!Key job responsibilities• Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety• Writing requirements capturing documents, design documents, integration test plans, and deployment plans• Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholders- Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2025 and September 2026- Programming experience in internship or coursework with programming language such as Python and/or C or C++.- Candidates with strong interests and academic qualifications/research focus in two of the following: o Distributed systems o Machine Learning - Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms o Container o Operating System - Linux system programming/services- Currently enrolled in a Master’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2025 and September 2026- Previous technical internship(s), if applicable.- Experience in automating- Ability to effectively articulate technical challenges and solutions.- Adept at handling ambiguous or undefined problems as well as ability to think abstractlyAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47.84/hr in our lowest geographic market up to $96.15/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

This is a hands-on individual contributor role. You will work with internal and external product development partners to create a variety of innovative accessories for Apple devices. Together, we will conceive, design, and bring into production products that will re-define and enhance the mobile experience. We will work closely with many different multi-functional teams including Industrial Design, Hardware Engineering, Antenna, Reliability, Safety and Marketing to provide guidance to best in class accessory development partners. Apply today! ...

Do you love helping people and acting as a trusted resource to others? Do you enjoy building deep expertise as well as navigating new and different tasks every day? We are looking for an experienced Administrative Assistant who is organized, analytical and enjoys providing support and independent problem solving! Your role will require good business judgement and an ability to communicate with people across various functions and levels. ...

Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized 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. ...

The Aesthetics Engineer conducts research, development and applications in camera capture, image editing, and related software apps. You collaborate with cross-functional teams to develop the next generation of creative imaging tools and state-of-the-art technologies to surprise and delight creative pros and enthusiasts alike. You have the opportunity to work with world-class creatives, designers, researchers and engineers to help innovate at the intersection of art and science in the way that only Apple can. ...

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! ...

Do you want to lead a team that builds scalable, cutting-edge infrastructure powering Apple Intelligence? The AIML Search Infrastructure team is pioneering the next generation of search, AI, and machine learning. Our platform forms the core of Apple Intelligence, supporting critical products and services across Apple, including Music, App Store, TV, News, Spotlight, Safari, Siri, and many more exciting products in the pipeline. Each day, we process millions of user queries with exceptional performance, fully leveraging our advanced hardware to deliver seamless user experiences. As part of this team, you’ll engage with one of the most sophisticated computing environments in the world, handling millions of transactions per second. You’ll actively contribute to designing, building, and optimizing cloud infrastructure solutions that make our platform more scalable, cost effective, performant, as it adapts to fast growing traffic volumes and complex models across Apple's global ecosystem. ...

Would you like to play a part in the next revolution in human-computer interaction? Join the Siri team at Apple. Contribute to a product that is redefining mobile computing, build groundbreaking technology for Apple intelligence. Transform how people keep up with the world and work with the people who crafted the intelligent assistant that helps millions of people get things done — just by asking.We are seeking an exceptional engineering director to lead our engineering efforts in the Siri platform. As Apple continues to ship more devices, providing a consistent, responsive, and high-performance experience is critical for our users. This is a great opportunity to impact Siri across all of Apple’s devices and play a critical role in ensuring we can deliver new experiences on a range of hardware with different capabilities. ...

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 an outstanding engineering manager to develop and deliver the next generation of speech translation technology to our users allowing them to communicate across language barriers. ...

Description In this role, you will drive search ranking for the personal content search effort. You are expected to take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with the phenomenal power of semantic index and generative models, and then deliver the truly delightedly user experiences that are uniquely Apple. You will be responsible for devising the product vision and strategy, evangelizing it, executing the plan, and delivering the end-user experience. You will have the opportunity to work with a wide range of organizational partners across design, product and marketing, software engineering, and machine learning and profoundly impact billions of Apple users worldwide. We announced part of our vision on Personal Search in WWDC2024 - ...

Play a part in building the next revolution of machine learning technology. We’re looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. ...

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.The AIML team at Apple is building the next generation of Machine Learning models, and we are looking for people like you to come build Apple Intelligence with us! The Machine Learning Platform & Technology (MLPT) team in the AIML organization is seeking a Manager, Engineering Program Manager for its ML Lifecycle Platform. This platform enables the end-to-end machine learning lifecycle encompassing the build of tools, utilities and services for all the stages involved in developing, deploying, monitoring and maintaining ML models. ML lifecycle includes several key phases, each critical to building models that deliver actionable insights and value.We’re seeking a seasoned Manager, Program Manager to lead and oversee the end-to-end machine learning lifecycle across multiple teams. In this role, you will be responsible for managing the full spectrum of activities involved in understanding the developing, deploying, and maintaining machine learning models, from data acquisition to post-deployment monitoring. You will drive cross-functional collaboration across Apple and ensure that projects are executed efficiently, delivering high-quality machine learning models. You will partner with the engineering teams and other product/program managers across the org to drive and influence our ML Lifecycle roadmap for Apple's ML use cases. Come, join us and build the new frontier technologies that support Apple Intelligence! ...

The AIML Data Operations team is a fast paced, dynamic environment. In this role you will engage with teams across Apple’s ecosystem with the ultimate goal of delivering high-quality data to be used for ML algorithm development. ...

Would you like to play a part in shipping groundbreaking technology for large-scale systems, natural language, and artificial intelligence? Join the Siri ML Systems Evaluation Engineering (MLSEE) team at Apple! We interact with various engineering teams to identify issues and test requirements, drive the quality of Siri features, and build frameworks that support evaluation and qualification. You will work with the people who craft the intelligent assistant that helps millions get things done — just by asking!As a senior manager, you will play a critical role in driving the evaluation methods of various platforms and product areas for Siri. You will drive coverage and fidelity of testing and evaluation for pre-ship hill climbing and readiness for a wide range of AIML products, including Apple Intelligence features. You will craft new and leverage existing methodologies and frameworks to validate the end-to-end quality of new search features. Working alongside SW and ML engineering product teams as a critical partner, you will utilize a suite of available libraries and frameworks - test automation, LLM-based evaluators, and failure analysis tools - and drive requirements for improving those. You will be responsible for benchmarking performance for new features/platforms and driving improvement recommendations. ...

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 ...

At the Body-sensing Intelligence Group (BIG), we bring together experts from a wide range of disciplines to craft new experiences through machine learning that power next generation wearables. We are looking for a Senior ML Research Scientist to innovate and implement cutting edge deep learning algorithms to power future Apple products. In this role, you'll be part of a team of researchers and technical leads from ML, HW, and SW backgrounds, and will work cross-functionally with engineers, designers, and prototypers to enable shipping algorithms and experiences that improve the lives of Apple customers. ...

Are you a passionate software engineer eager to design and build cloud-native infrastructure platforms at Apple scale for Siri, Search, and AI/ML products? We're seeking a talented software engineering leader with deep expertise in infrastructure and distributed systems to architect and develop scalable, cloud-native platforms that leverage cutting-edge technologies, machine learning, and open source to power seamless and intelligent experiences for billions of Apple users. If you're excited about driving innovation and building resilient systems that support Apple's global AI/ML initiatives, we'd love for you to join our team! ...

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! We are seeking an engineer to lead the quality of AIML products on new platforms and collaborate with the most innovative product development teams in the world. This team crafts and builds evaluation tools, automation frameworks and methodologies that enable product teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences. You will engage with innovative new-product teams around Apple, bringing your expertise and passion for innovation to solving technical problems for our next-generation products. ...

We are seeking an experienced engineer to design, set up and maintain machine learning and code development infrastructure for a team engaged in groundbreaking ML robotics research. ...