aiml - machine learning engineer, data and ml innovation

aiml - machine learning research engineer, data and machine learning innovation

aiml - sr applied ai scientist - genai model autograding, evaluation

administrative assistant - beats, home, accessory, and ecosystem

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

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

aiml - sr applied ai scientist - genai model autograding, evaluation Jobs in Cupertino

machine learning intern

Apple

At Apple, 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. Does an engaged, user-focused, and high impact environment catch your attention? Do you like puzzles and determining solutions that are not obvious? If so, consider joining us. 
 
The News team at Apple is looking for smart, creative scientists and algorithm design experts to build a new generation of features. You will contribute to the ecosystem of Machine Learning models that powers Apple News on iOS and transforms data into sophisticated features that delight, connect, and inspire users every day. 
 
Description 
 
Apple&rsquo;s News team is seeking a high-energy and self-driven Machine Learning Scientist who will play a key role in the delivery of scalable machine learning models. The team uses machine learning to tackle complicated problems in the News domain, including text and multi-media understanding, personalization, search and ranking. As a member of our dynamic group, you&rsquo;ll have the rare and rewarding opportunity to design algorithms for upcoming features that will delight and inform millions of Apple&rsquo;s customers every day. 
 
We're looking for smart and creative scientists with a deep background in computer science, especially machine learning, deep learning, information retrieval, and scalable distributed computing.&quot;,&quot;responsibilities&quot;:&quot;Design and implement both custom and state-of-the-art machine learning and deep learning models that process text, extract information, personalize feeds, and transform complex requirements into tangible solutions. 
 
Curate high-quality training datasets, and architect deep learning models including defining custom architectures, fine-tuning large language models, and training adapters suitable for specific tasks 
 
Own the full machine learning lifecycle: from ideation, experimentation and prototyping to deployment, monitoring, and continuous improvement of models in production. 
 
Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features. 
 
Stay abreast with the latest advances in deep learning research in areas like multi-modal learning, large language models, generative AI and others, and proactively apply novel techniques to solve key challenges in the news domain. 
 
Preferred Qualifications 
 
Ph.D. in Machine Learning, Computer Science, or related field. 
 
5-7 years of experience training and shipping NLP and computer vision focused machine learning models in products. 
 
Proven experience taking LLM-based and Agentic AI systems from prototype to production including orchestration, automatic evals and reliability considerations a plus. 
 
Experience with personalized ranking and scoring is a plus. 
 
Experience with vision tasks is a plus. 
 
Experience delivering high quality software at scale. 
 
Experience designing user-facing machine learning features with interdisciplinary partners. 
 
Minimum Qualifications 
 
MS in Machine Learning, Computer Science or related field. 
 
Extensive knowledge in theory and practice of machine learning and deep learning techniques. 
 
At least 3 years of experience training and deploying machine learning models. 
 
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar. 
 
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 $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.

Machine Learning Scientist, News Team

In a time where the news and book media landscapes are changing by the day, Apple News and 
 
Apple Books stand as champions of quality content, expert curation, user privacy, and the 
 
judicious use of machine learning. 
 
Our lively and brilliant team consists of client and machine learning engineers who embody 
 
Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our 
 
careers. 
 
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates 
 
as both engineers and people. 
 
Would you like to work on such a team, solving hard problems in machine learning? Terrific! 
 
Please join us for the next generation of these apps! 
 
Description 
 
Our team is seeking a high-energy and self-driven machine learning engineer who will play a 
 
central role in the delivery of scalable services. The team uses machine learning to tackle 
 
difficult and complicated problems in the news, books, and stocks domains, including text 
 
extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a 
 
member of our dynamic group, you&rsquo;ll have the rare and rewarding opportunity to craft upcoming 
 
products that will delight and encourage millions of Apple&rsquo;s customers every day!&quot;,&quot;responsibilities&quot;:&quot;Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features. 
 
Develop datasets, design model architecture, and prompt, train, or fine-tune models. 
 
Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end AI/ML features. 
 
Drive application features from concept, model design, and development all the way to delivery. 
 
Join a thriving machine learning community at Apple. 
 
Preferred Qualifications 
 
Ph.D. in Machine Learning, Computer Science, or related field. 
 
At least 5 years of experience shipping machine learning models in products. 
 
Experience with recommender systems. 
 
Experience with text-centric AI/ML (LLMs, document classification, search, etc.) 
 
Experience delivering high quality software at scale. 
 
Experience designing user-facing machine learning features with interdisciplinary partners. 
 
Minimum Qualifications 
 
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable. 
 
At least 2 years of experience shipping machine learning models in products. 
 
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar. 
 
Ability to communicate effectively and collaborate with partner teams. 
 
Commitment 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.

Machine Learning Engineer - News, Books, & Stocks Team

<div>The Software Localization &amp; Engineering team powers the tooling, features and processes used to create an exceptional localized experience for Apple&rsquo;s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple&rsquo;s products. 
 
We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to build the next generation of ML tooling, processes and end-user features for international locales. Strong engineering fundamentals and a passion for this area are required. 
 
Description 
 
As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple&rsquo;s products. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Your duties include: 
 
<ul><li>Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment</li></ul> 
<ul><li>Helping define a scalable, data driven quality program to continuously improve ML based products and features globally</li></ul> 
<ul><li>Collaborating with translation, Localization quality, project management and engineering teams to develop and scale the approach with a focus on the end user and the product quality</li></ul> 
<ul><li>Developing and maintaining features, frameworks and tools to help facilitate the software translation process</li></ul> 

Preferred Qualifications 
 
Hands-on experience with handling large datasets and developing data analytics pipelines for natural language based products 
 
Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products 
 
Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow, OpenNMT) 
 
Experience in software Localization / internationalization 
 
Native-level foreign language skills in reading, writing and speaking 
 
Experience or curiosity in languages and culture, comfortable working cross-functionally and cross-culturally 
 
Published research in the field of Machine Learning or AI 
 
Minimum Qualifications 
 
Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP) 
 
Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging 
 
Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models 
 
Strong programming skills in Python or other scripting languages 
 
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.</div>

Machine Learning Engineer, International Data Engineering

Wonder how Apple's Media Products show relevant search results and recommendations across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness+? Join us to conduct research and develop machine learning models that personalize Apple Fitness+ for millions of users worldwide! In this role, you will propose, prototype, and evaluate innovative algorithm solutions and improvements. You will partner to build large-scale personalized recommender systems across Apple's media products and see your work touch the lives of billions of Apple users worldwide. 
 
The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. We are the team that powers recommendations and personalization in the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness+. We achieve this on a massive scale, meeting Apple's high privacy expectations, and delivering a vast array of fitness and wellness content in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple's unique integration of hardware, software and services, designers, scientists, and engineers partner to get behind a single unified vision that always includes a deep commitment to strengthening Apple's privacy policy. Although services are a bigger part of Apple's business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. 
 
Description 
 
We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in artificial intelligence and machine learning. With your expertise, we want to develop novel solutions to power personalized experiences in Apple Fitness+ that enrich our customers' lives by helping them achieve their health and wellness goals. You will have the incredible opportunity to see your solutions deployed at Apple's truly incredible global scale.&quot;,&quot;responsibilities&quot;:&quot;Develop and apply state-of-the-art machine learning and artificial intelligence techniques to personalize user experiences within Apple Fitness+. 
 
Conduct human evaluation and rigorous experiments to test and improve your models. 
 
Derive insights from experimentation and convert them into feature improvements. 
 
Ship production quality code to deploy your models at a global scale. 
 
Contribute to the scientific literature through publications and participation in leading academic conferences. 
 
Help chart the future growth of personalization across Apple's services ecosystem. 
 
Preferred Qualifications 
 
PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc. 
 
Knowledge of generative artificial intelligence applied to recommendation systems. 
 
Minimum Qualifications 
 
Deep knowledge of machine learning-powered personalization algorithms, design patterns, and tools. In particular, this includes deep learning, reinforcement learning, and unsupervised learning methods. 
 
Practical real-world experience with building scalable recommendation systems. 
 
Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, PyTorch, scikit-learn, numpy, scipy, and pandas. 
 
Technical competence in production-quality software development. 
 
Familiarity with big data technologies. 
 
Strong written &amp; oral communication skills. 
 
MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc. 
 
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.

Machine Learning Research Scientist - Personalization Science, Apple Fitness+

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

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
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 and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
Your work may span a variety of directions, including but not limited to: 
 
Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc) 
 
Strong problem-solving and communication skills. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
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.

AIML - Machine Learning Engineer, Data and ML Innovation

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn&rsquo;t have imagined, and now, can&rsquo;t imagine living without. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. 
 
Description 
 
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Working with computer architects to develop ideas for improving performance on future silicon. Improving performance of machine learning algorithms on the CPUs in apple watches, iPhones and Mac. Testing workloads to ensure no performance regressions on silico. Debugging performance regressions on silicon and improve performance of machine learning model. Researching about instruction set architectures and conduct performance tuning on hardware. Collaborating with compiler teams to improve application and system performance. Working closely with OS teams to debug issues and maintain the operating system. Benchmarking and comparing the performance of workloads across different operating system/compiler/silicon versions. Working with machine learning teams to find ways to improve the performance of their models on the CPUs in different devices. Presenting CPU performance results to cross functional teams. Working with performance modeling team to develop plans for silicon performance profiling and characterization; and working with instruction profiling tools to develop new instructions to improve instruction time. 40 hours/week. 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 $166,470 - $220,900/yr and your base pay will depend on your skills, qualifications, experience, and location. 
 
PAY &amp; BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;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&rsquo;s Employee Stock Purchase Plan. You&rsquo;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: https://www.apple.com/careers/us/benefits.html. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Preferred Qualifications 
 
N/A 
 
Minimum Qualifications 
 
Master&rsquo;s degree or foreign equivalent in Electrical Engineering, Computer Engineering or related field. 
 
Experience and/or education must include: 
 
Programming in C/C++ and machine learning including neural networks and K-nearest neighbors. 
 
Developing high performance software for linear algebra kernels and kernels used in machine learning applications. 
 
Write parallel code for multicore, manycore, and cluster platforms. 
 
Write parallel programs understanding machine performance characteristics and how hardware design affects software design. 
 
Optimizing compilers that effectively exploit modern processor architectures and implementing optimizations within the framework of a compiler. 
 
Knowledge of assembly language programming. 
 
Applying tools including compilers, code analyzers, debuggers, and profilers. 
 
Utilizing modern programming tools including GDB debuggers and x86 disassemblers. 
 
Evaluate performance and implement optimizations for machine learning algorithms using computer arithmetic, processor architecture, memory organization and management, concurrent computation. 
 
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 .

Machine Learning Engineer

Explore 69+ Machine learning intern in Cupertino this March. Find roles across top companies and apply now to boost your career.