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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 - 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

applied ai ml sw software engineer

Apple

Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at Apple&rsquo;s incredible scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more? Come join us in applying ML and AI techniques across Apple&rsquo;s hardware portfolio, helping bring amazing, groundbreaking products and innovations to life. 
 
We are the Product Integrity AI/ML team, and we build and deliver software supporting the development of Apple&rsquo;s unparalleled hardware product line. Our software is used by both Apple engineers and third-party accessory manufacturers to develop and debug their systems, with high visibility throughout the company. 
 
If you&rsquo;re excited by writing efficient, testable, and robust code that makes a real difference, we can&rsquo;t wait to hear from you! 
 
Description 
 
As a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and AI. The software you build will be instrumental in solving difficult challenges, providing data insights, and driving decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we&rsquo;re building the most effective solutions possible. 
 
&quot;,&quot;responsibilities&quot;:&quot;Write high-quality code that&rsquo;s testable, scalable, and able to be maintained by others in the future 
 
Collaborate across teams and organizations to distill complex requirements into a concrete action plan 
 
Research new ML and AI techniques and advocate for innovative ways to apply them to new and existing problems for our customers 
 
Build scalable infrastructure platforms from the ground up to service cutting edge machine learning workflows 
 
Lead design reviews, author documentation, and give meaningful feedback on the designs of peers 
 
Represent your work to the team and leadership through demos, presentations, and retrospectives 
 
Preferred Qualifications 
 
Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines 
 
Exposure or interest in leveraging Kubernetes and other cloud-based deployment platforms to deliver applications reliably at a high velocity 
 
Ability to architect complex systems in a reusable, modular way 
 
Curiosity to learn new technologies and passion for sharing that knowledge with others 
 
Master&rsquo;s degree in Computer Science, Computer Engineering, related field, or equivalent work experience 
 
Minimum Qualifications 
 
Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience 
 
2+ years professional software engineering experience working in Python or other object-oriented programming language(s) 
 
Demonstrated software engineering expertise in web, native, and/or Machine Learning/AI applications 
 
Excellent written and verbal communication to both technical and non-technical audiences 
 
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.

Applied AI/ML SW Software Engineer

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 37 languages to more than 175 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. 
 
Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here. 
 
Description 
 
The Rights &amp; Pricing engineering team provides the Apple Services platform for distribution rights by country, calculation and management of prices including retail, offers, wholesale, and tax. Rights &amp; Pricing also includes Partner Onboarding which includes the vendor application process, signing of digital contracts, collection of bank account and tax information, and business systems that manage the presentation layers of payments, invoicing, and financial reporting. This is a key team for Apple Services Engineering! 
 
As a Senior Applied AI/ML Engineer, you will shape how our team adopts AI/ML-from rapid prototyping to production systems at scale. You'll identify high-impact opportunities, build proof-of-concepts to validate ideas, then leverage Apple's internal ML infrastructure to productionize solutions serving millions of users. Beyond building, you'll establish best practices, mentor engineers to become AI-native practitioners, and help define our AI/ML culture for years to come. 
 
Sound like a great opportunity? Join us!&quot;,&quot;responsibilities&quot;:&quot;Lead AI/ML initiatives end-to-end-from prototyping and experimentation to production deployment 
 
Develop and fine-tune models (including LLMs) for rights management, pricing optimization, and partner operations 
 
Create compelling demos that communicate AI capabilities and inform product direction 
 
Build reusable patterns and documentation that enable engineers to incorporate AI/ML into their work 
 
Partner with product and business teams to identify automation opportunities 
 
Establish evaluation frameworks and standards for responsible AI development 
 
Mentor engineers and influence AI/ML adoption across the team 
 
Preferred Qualifications 
 
Experience establishing AI/ML practices in teams new to AI/ML 
 
Background in optimization, pricing algorithms, or financial systems 
 
Experience with privacy-preserving ML techniques 
 
Minimum Qualifications 
 
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of industry experience 
 
Proven track record of leading successful AI/ML projects from conception to deployment 
 
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of applied AI/ML experience 
 
Demonstrated experience solving business problems with the help of AI/ML, developing reliable evaluation frameworks to assess model efficiency, and scaling operations to large-scale production deployments 
 
Strong proficiency with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) 
 
Experience with ML pipelines (feature engineering, training, serving, monitoring) 
 
Proficiency in Python and experience with distributed systems 
 
Proven ability to mentor and influence engineering teams on AI/ML adoption and leading mission-critical initiatives 
 
Excellent communication skills with ability to translate technical concepts for diverse audiences 
 
Hands-on experience with LLMs, including: developing evaluation frameworks, fine-tuning, prompt engineering, RAG architectures, and AI API integration 
 
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 $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.

Sr. Applied AI/ML Engineer, Rights and Pricing - Apple Services Engineering

<div>Are you a seasoned engineer passionate about transforming cutting-edge ML research into production systems that improve lives? The Applied Sensing &amp; Health team is revolutionizing health and fitness technology, empowering millions to live healthier, more active lives. We develop sophisticated machine learning algorithms and sensor fusion systems that track human motion, turning raw data into meaningful, actionable insights for Apple users worldwide. 
 
Join a team of world-class experts dedicated to applied ML in human movement and health. Here, you'll bridge the gap between research and production-translating novel ML approaches into robust, high-performance systems that delight and inspire millions of Apple customers every day. This is a unique opportunity to blend ML expertise with systems engineering in service of a mission that truly matters. 
 
Description 
 
The Applied Sensing &amp; Health team delivers critical Health and Fitness features for Apple Watch, iPhone, and other Apple products. We are seeking a versatile applied ML engineer who thrives at the intersection of research and production systems. In this pivotal role, you will: 
 
<ul><li>Translate cutting-edge ML research into optimized, production-ready algorithms for sensor data processing</li></ul> 
<ul><li>Design and conduct data-driven research to improve fitness and health algorithms, analyzing large-scale sensor datasets to derive actionable insights</li></ul> 
<ul><li>Implement ML models and pipelines end-to-end-from prototyping in Python to production deployment in C++</li></ul> 
<ul><li>Collaborate with research scientists to evaluate new approaches and drive them toward production</li></ul> 
<ul><li>Build tools and infrastructure for data analysis, model evaluation, and algorithm validation</li></ul> 
Your work will span the entire ML workflow: researching novel approaches, prototyping solutions, analyzing data at scale, and implementing robust production systems. You'll work closely with ML researchers, health scientists, and multi-disciplinary teams across Apple, delivering best-in-class systems that impact millions of users daily. 
 
Preferred Qualifications 
 
A demonstrated passion for health and fitness, driven to empower users through technology 
 
Experience with sensor data analysis, signal processing, or time-series modeling 
 
Knowledge of biomechanics, exercise physiology, or human movement analysis 
 
C++ programming skills with ability to optimize ML algorithms for production systems, including performance tuning and memory management 
 
Understanding of systems-level programming concepts including multi-threading,concurrency, and real-time constraints 
 
Publications or demonstrated research contributions in ML, computer vision, or related areas 
 
Track record of shipping ML-powered products or features at scale 
 
Minimum Qualifications 
 
MS or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or related field 
 
3+ years of experience applying ML to real-world problems. 
 
Strong foundation in machine learning with hands-on experience across the full ML workflow: research, experimentation, model development, evaluation, and production deployment 
 
Proficiency in Python for ML development, data analysis, and statistical modeling; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.) 
 
Experience translating research papers or prototypes into production-quality code 
 
Strong data analysis skills: comfortable working with large datasets, conducting experiments, visualizing results, and drawing meaningful conclusions 
 
Demonstrated ability to work independently on research problems while also collaborating effectively with cross-functional teams 
 
Familiarity with modern GenAI-enabled development workflows and tools (e.g., AI-assisted coding, automated code generation, intelligent debugging), coupled with a strong aptitude for learning and adapting to evolving technologies. 
 
Intellectual curiosity and willingness to dive deep into both algorithmic details and implementation challenges 
 
Exceptional communication skills; able to explain complex technical concepts to diverse audiences 
 
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 $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>

Senior Machine Learning Engineer, Applied Sensing & Health

Join the team responsible for Apple&rsquo;s Feedback and Beta Programs! Our tools and applications collect user feedback on beta software releases, helping to drive the direction and priorities of Apple&rsquo;s engineering teams. To make the best use of feedback we receive from customers and developers, we develop and maintain machine learning systems and automated analysis to cluster, annotate, and escalate the millions of reports we receive yearly. 
 
We are looking for experienced Machine Learning engineers to deploy and tune both traditional ML and generative AI models to enhance our systems&rsquo; capability. There are tantalizing problems and products possible with our one-of-a-kind dataset, and plenty of opportunity for a passionate engineer. 
 
Description 
 
Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users. 
 
You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. 
 
The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes. 
 
You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting. 
 
Preferred Qualifications 
 
Working knowledge of applied Natural Language Processing. 
 
Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems. 
 
Minimum Qualifications 
 
Industry experience with applied machine learning. 
 
Industry experience in software engineering, data engineering, or similar. 
 
Strong fundamentals in problem solving, algorithm design, and model building 
 
Excellent verbal and written communication and presentation skills 
 
MS in Computer Science or related experience 
 
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.

Applied Machine Learning Engineer - Customer Feedback

Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple. 
 
Our team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. 
 
We are looking for an exceptional Senior Machine Learning Engineer with deep experience in designing and developing large-scale ML systems and multimodal LLMs, with a focus on conversational AI across language and audio. In this role, you will advance the latest ML techniques and translate them into production systems that shape the Siri experience for millions of users worldwide. 
 
Description 
 
We are seeking a candidate with a strong background in applied ML research and development, particularly in multimodal LLM, natural language processing/generation, speech generation/understanding, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. To succeed in this role, you should be a strong researcher and engineer, an excellent programmer, and a creative problem solver who enjoys learning new techniques, improving systems, and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.&quot;,&quot;responsibilities&quot;:&quot;Develop and build multilingual, multimodal LLMs to improve speech and conversational experiences for Apple customers worldwide. 
 
Advance the state of the art in natural language processing, speech and audio modeling. 
 
Design and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple platforms. 
 
Collaborate closely with cross-functional partners in research, engineering, design, and production to deliver scalable, high-quality ML products. 
 
Stay current with emerging research and industry trends, and help define the future direction of AI-powered Siri experiences 
 
Preferred Qualifications 
 
Experience in reinforcement learning 
 
Experience with Speech LLMs or other Multimodal LLMs 
 
Experience with building &amp; deploying AI agents and LLMs 
 
Experience with large scale machine learning training/evaluation 
 
Data-centric vision and hands-on experience in developing and scaling foundation models 
 
Minimum Qualifications 
 
M.S. or PhD in Electrical Engineering, Computer Science or related fields 
 
5-7+ years experience in Machine Learning 
 
Experience in developing, training/tuning large generative models or LLMs 
 
Experience with machine learning frameworks such as JAX and/or PyTorch 
 
Proficient programming skills in Python 
 
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.

Sr. Machine Learning Engineer, Siri Speech

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. 
 
On the Tools and Frameworks AI team, you'll work on projects that push the boundaries of what's possible with AI. We're solving problems at the frontier of the field, building tools and capabilities, and figuring out what the next generation of software development looks like. We take these innovations from concept to production, ensuring our work delivers real impact at scale. You'll see your contributions move from early explorations to production systems that users depend on daily. 
 
Description 
 
We're looking for a Senior ML Engineer who can drive AI-powered software development from initial design through production deployment. You'll architect and build machine learning systems that push the boundaries of what's possible in software development, writing production-quality code that scales to meet real-world demands. This role requires both deep technical expertise and strong collaboration skills-you'll work closely with product managers, software engineers, and researchers across the organization to translate ambitious ideas into robust, shipping solutions. You'll be responsible for making critical design decisions, mentoring other engineers, and ensuring our exploratory work successfully transitions into production systems that deliver measurable impact.&quot;,&quot;responsibilities&quot;:&quot;Lead, design and implement AI-first developer productivity projects from prototype to production establishing best software engineering practices. 
 
Own the end-to-end user experience with a strong focus on product quality. 
 
Work cross-functionally with multiple stakeholders at Apple, drive requirements and deliver the end solution. 
 
Be a force-multiplier, by enabling team-members to be more productive. Mentor junior engineers. 
 
Preferred Qualifications 
 
Hands-on experience working on developer productivity AI tools 
 
Full-stack software developer experience with experience building ML infra at scale 
 
Experience leading AI/ML projects 
 
Minimum Qualifications 
 
At least 8 years of hands-on experience in software engineering, with focus on machine learning 
 
Demonstrated expert knowledge of machine learning modeling and applied machine learning research 
 
Strong programming skills in: Python, Java, C++ or Swift 
 
Track record of delivering high quality products and solving complex problems in innovative ways 
 
Thrive in a collaborative environment and communicate clearly and confidently with partner teams 
 
Masters OR PhD in Computer Science, Machine Learning Engineering or equivalent professional experience 
 
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.

Sr. Machine Learning Engineer, Tools and Framework AI

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

Explore 83+ Applied ai ml sw software engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.