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ai/ml engineer: system rf data ecosystem Jobs in Cupertino

ai/ml engineer: system rf data ecosystem

aiml - ai software engineer, evaluation Jobs in Cupertino

aiml - ai software engineer, evaluation

aiml - applied ml engineer, responsible ai Jobs in Cupertino

aiml - machine learning engineer, data and ml innovation Jobs in Cupertino

aiml - machine learning engineer, mlr Jobs in Cupertino

aiml - machine learning engineer, mlr

camera incubation machine learning engineer

Apple

Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our group, you&rsquo;ll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You&rsquo;ll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You&rsquo;ll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, we&rsquo;ll craft a magical photography experience that redefines what millions of customers can expect from their cameras. With the rapid growth of Machine Learning, supported by the fastest mobile chips in the world, cameras can capture photos and videos that are better than ever, surpassing what could be foreseen from hardware improvement, just a few years ago. These new software technologies also provide camera systems with better understanding of the surrounding world, opening a new, widely uncharted, realm of possibilities, for instance different ways to capture, represent or edit memories, or new abilities to create content for applications. 
 
Description 
 
As a team member of an incubation team, you will develop future feature ideas into proofs of concept and prototypes, and then contribute to transform them into products that will surprise and delight millions of customers all over the world. In particular, you'll take on the challenge of applying innovating machine learning solutions to enhance the video experience on our devices, and finding the right trade-off between quality and performance on very power constrained devices. You'll work with hardware and software teams to optimize the end to end data flow, and identify blocks that can be reused and accelerated by hardware customization. The ideal candidate is self-motivated, an excellent problem solver, and a faster learner. You are comfortable working in a dynamic multi-functional environment, quick to establish relationships and comfortable with changes and ambiguities. You will bring software expertise to a highly interdisciplinary team, and work with many dedicated engineers to build high-quality features in Apple products. 
 
Preferred Qualifications 
 
Demonstrated ability in taking initiative to solve problems without explicit directions, and delivering results under tight engineering schedules. 
 
Excellent oral and written skills for clear reporting of data analysis and conclusions. 
 
Experience in specifying and creating datasets for a particular task. 
 
Self-driven and passionate for camera technologies, as well as prototyping and productization. 
 
Ability to learn quickly and become familiar with multiple technology areas. 
 
Minimum Qualifications 
 
MS degree with 6 years relevant proven experience. 
 
Development experience in image or video processing. 
 
Experience on CV/ML development framework. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Camera Incubation Machine Learning Engineer

In the Camera Imaging Algorithms team in the Camera &amp; Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world. 
 
Description 
 
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline. 
 
Preferred Qualifications 
 
Excellent verbal and written communication skills 
 
Creativity and curiosity for solving complex problems 
 
Minimum Qualifications 
 
Strong coding skills in Python; experience in C/C++ a big plus 
 
Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems 
 
Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques 
 
Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow 
 
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Computational Photography/Computer Vision Machine Learning Engineer

Imagine the possibilities here. At Apple, new ideas swiftly transform into extraordinary products, services, and customer experiences. With passion and dedication, you can achieve remarkable things. Here, dynamic and hardworking individuals, coupled with inspiring and innovative technologies, are the norm. 
 
Our passion for innovation extends beyond our products to our practices, solidifying our commitment to leaving the world better than we found it. Join us in delivering the next groundbreaking Apple product. 
 
Are you passionate about tackling unsolved challenges? As a member of our dynamic group, you&rsquo;ll have the unique and rewarding opportunity to design upcoming products that will delight and inspire millions of Apple&rsquo;s customers daily. 
 
Are you passionate about building products that harness the power of artificial intelligence, machine learning, and computer vision? Do you have the expertise to apply cutting-edge knowledge to create innovative AI camera features for Apple&rsquo;s products, such as the iPhone or iPad? If you&rsquo;re an exceptional data engineer, the Camera Intelligence team is seeking you to join us in building our next generation of camera features. 
 
Description 
 
We are seeking a Data Engineer to join our team to leverage the potential of artificial intelligence in Apple's cameras. In this highly collaborative role, you will partner with data collection/annotation teams, ML researchers, and camera feature teams to integrate models, design data pipelines, and shape the data requirements for next-generation camera intelligence features. An ideal candidate should possess experience with modern machine learning workflows, a solid grasp of deep learning and the data requirements of modern network architectures.&quot;,&quot;responsibilities&quot;:&quot;Work and communicate cross functionally with ML researcher and annotation teams. 
 
Drive our ML data efforts. 
 
Design and implement data pipelines. 
 
Support our model selection process. 
 
Preferred Qualifications 
 
Deep understanding of concurrency, parallelism, and working with S3-like object storage systems 
 
Experience with efficient data storage formats for ML workflows (LMDB, HDF5, Parquet, or similar) 
 
Experience building ETL pipelines for image/video datasets and ML training workflows. 
 
Minimum Qualifications 
 
Excellent written and verbal communication skills. 
 
Proven ability to collaborate across multiple teams including data collection/annotation, ML researchers, and camera feature teams. 
 
Strong programming skills in Python with hands-on experience with Dask for distributed data processing 
 
Familiarity with ML frameworks (TensorFlow, PyTorch) and modern deep learning architectures 
 
Understanding of imaging fundamentals: raw sensor data, ISP outputs, color spaces, and image quality metrics. 
 
Ability to work independently and resolve infrastructure challenges with minimal support. 
 
Bachelor's degree in Computer Science, Engineering, or related field with relevant experience in data engineering and computer vision/imaging domains. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Engineer - Camera Intelligence

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. 
 
As a Computer Vision &amp; Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! 
 
Description 
 
The ideal candidate should have deep experience in computer vision and machine learning and care about long term sustainable software development. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. 
 
&quot;,&quot;responsibilities&quot;:&quot;Build state-of-the-art machine learning models to power application features. 
 
Collect model training data, design model architectures, and train custom models suited for application features. 
 
Partner with cross-functional teams to design and implement end-to-end machine learning enabled features to power the next-generation tools for creators. 
 
Drive application features from concept, model design, development and all the way to delivery. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning or related field. 
 
Experience delivering high quality software at scale is a plus. 
 
Familiarity with modern camera ISP and digital image processing algorithms and models is a plus. 
 
Experience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus. 
 
Strong patent and publication record at top conferences is a plus. 
 
Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus. 
 
Knowledge and keen interest in learning the art and science of photography. 
 
Minimum Qualifications 
 
MS Computer Science, Machine Learning or related field, and 2+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies. 
 
Knowledge in theory and practice of computer vision, machine learning and deep learning techniques. 
 
Experience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning, or related areas. 
 
Hands-on experience with building, training, evaluating, and deploying transformer based vision models, Generative Adversarial Network based models, or related methods. 
 
Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. 
 
Ability to solve everyday problems in innovative ways. 
 
Ability to communicate effectively and collaborate with partner teams. 
 
Committed to encouraging an open and inclusive work environment. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Computer Vision and Machine Learning Engineer, Creativity Apps

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&rsquo;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&rsquo;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&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
We are looking for a talent who will join us to craft the future of video coding and processing. Our team develops cutting edge machine learning technologies and systems that enable intelligent and interactive video experience in Apple&rsquo;s products, such as FaceTime, Camera, AirPlay, CarPlay, Screen Share, Immersive Reality, etc. You will work closely with a group of highly motivated specialists to develop exciting machine learning technologies that will make a huge impact to customers. 
 
Description 
 
As a video machine learning engineer in our team, you will be responsible for developing ML/DL solutions to enhance or bring new user experiences. You will be deeply involved in developing new or improving existing algorithms; designing neural network architectures; training, optimizing, integrating networks; and coordinating with various teams to ship new technology in Apple products. 
 
&quot;,&quot;responsibilities&quot;:&quot;Design neural network architectures 
 
Train, optimize, and integrate neural networks 
 
Participate in developing new or improving existing algorithms 
 
Enhance or come up with new user experiences to video communication 
 
Coordinate with various teams to develop and ship new technology 
 
Preferred Qualifications 
 
Strong programming, problem solving, and performance optimization skills 
 
Experience in utilizing AI in programming 
 
Minimum Qualifications 
 
Master's degree in Electrical Engineering or Computer Science or 3 years of equivalent work experience 
 
Experience in digital video processing 
 
Modern video codec knowledge 
 
Deep knowledge and experience in designing and optimizing neural networks 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Video Machine Learning Engineer

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 engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer passionate about solving real-world problems in the health domain that make a difference in our customers' lives. 
 
Description 
 
In this role, you will use your skills and experience in ML and deep learning to design, implement, tune and evaluate machine learning models and algorithms to solve ambitious problems involving unique data and objectives including state of the art generative AI models and tools. The successful candidate should possess excellent interpersonal skills and ability to work multi-functionally to apply novel research at the intersection of Health and ML into customer features. 
 
Preferred Qualifications 
 
PhD preferred. 
 
5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets. 
 
Strong background in generative models, natural language processing, and large language models. 
 
Proficiency working with large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, Jax, Huggingface). 
 
Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements. 
 
Proven track record of contributing to diverse teams in a collaborative environment. 
 
A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills. 
 
Minimum Qualifications 
 
10+ years of overall software development experience. 
 
Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production. 
 
BS/MS/Ph.D. in Computer Science, Computer Engineer, Machine Learning, or related fields or equivalent qualification. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer- Health AIML

The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple's future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem-solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities. 
 
Our team builds high-quality software that powers delightful Siri-based experiences in the Apple ecosystem. We value passion for excellence and a deep commitment to building high-quality software. If you want to impact millions of customers around the world by working on the most advanced technology solutions, we want to talk to you. 
 
Description 
 
As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products.&quot;,&quot;responsibilities&quot;:&quot;Integrating ML models into production software pipelines with focus on performance and reliability 
 
Building and optimizing infrastructure for ML model evaluation, analysis, and deployment Collaborating with ML engineers to understand model requirements and translate them into efficient system implementations 
 
Optimization of existing systems for ML workloads and debugging complex software-ML integration issues 
 
Working cross-functionally to drive requirements from concept through feature launch 
 
Writing clean, maintainable production code with comprehensive documentation and tests 
 
Contributing to architecture decisions, design reviews, and peer code reviews 
 
Acting as a force-multiplier by enabling both engineering and ML team members to be more productive 
 
Preferred Qualifications 
 
Demonstrated experience building production-quality software 
 
Experience building ML infrastructure, evaluation pipelines, or training systems 
 
Familiarity with ML frameworks (Core ML, PyTorch, TensorFlow) and model optimization techniques 
 
Minimum Qualifications 
 
Strong programming skills in Swift / C++ / Objective-C 
 
Solid understanding of machine learning concepts, model inference, and ML system design principles 
 
Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms 
 
Passionate about delivering high-quality products, comfortable with ambiguity, intellectually curious and driven to find creative solutions 
 
Ability to thrive in collaborative environments with multiple cross-functional teams and communicate clearly with both engineering and ML teams 
 
BS (or higher) in Computer Science, Machine Learning, or related disciplines 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

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