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

aiml - sr software data engineer, 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 - 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

aiml - sr software data engineer, evaluation Jobs in Cupertino

data scientist subscription analytics

Apple

<div>We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards bright, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic and fast paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us. We are looking for an experienced individual who will focus on exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of feature usage behavior and conversion optimization. 
 
Description 
 
This role focuses on subscription analytics and initiatives to drive growth. Here, you will partner closely with Product, Business, Data Engineering and Instrumentation teams. The tasks fall broadly into these areas: 
 
<ul><li>Size new opportunities and work with a broad cross-functional team to support roadmap planning, implementation, and launch of new products and features.</li></ul> 
<ul><li>Identify key learnings from data and distill findings into recommendations for business owners</li></ul> 
<ul><li>Define, measure and communicate KPIs for overall business and key initiatives. Build and maintain regular reports and provide ad-hoc analysis to support business needs</li></ul> 
<ul><li>Work with engineering to identify data needs for new initiatives and build data pipelines. Partner with the instrumentation team to ensure tracking is in place before launches</li></ul> 

Preferred Qualifications 
 
Related business understanding with experience in product growth or analytics. 
 
Strong business presentation and storytelling skills. Communication skills to package findings. 
 
Work well within cross-functional teams and manage stakeholders. 
 
Ability to structure and solve problems. 
 
Minimum Qualifications 
 
5+ years of experience working and understanding of data structures and pipelines. 
 
5+ years of experience with demonstrated expertise in programming, developing, and managing SQL, R and/or PySpark. 
 
Bachelor's degree in the preferred fields of Mathematics, Economics, Engineering, Statistics, Business Analytics, Finance, or equivalent quantitative discipline 
 
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 $134,800 and $245,800, 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>

Data Scientist, Subscription Analytics

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning &amp; Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling &amp; experimentation, and ad hoc analyses. 
 
We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning &amp; optimization with quantitative rigor-all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods. 
 
Description 
 
The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.&quot;,&quot;responsibilities&quot;:&quot;As a Data Operations Capacity Planning &amp; Analytics Data Scientist, you will: 
 
Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development. 
 
Evaluate which tasks and data types benefit most from automation and work with customers to optimize against. 
 
Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch. 
 
Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure. 
 
Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios. 
 
Identify key factors that lead to improving productivity and quality. 
 
Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains 
 
Preferred Qualifications 
 
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations 
 
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization 
 
Passion for AIML and Operations, with a consistent track record of operational results. 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals 
 
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization 
 
Mastery in SQL-based languages, and proficiency in at least one large-scale data languages 
 
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R 
 
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 $172,100 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 Scientist, AIML Data Scientist

We are looking for a Senior Data Scientist to define how we measure the success and reliability of Apple Intelligence and Siri software. This role connects feature delivery, on-device telemetry, and data insights to help teams understand real user experience and make better engineering decisions using trusted metrics. 
 
You will design product health metrics and ensure measurement is built into every feature from the start. The ideal candidate is a full-stack data scientist with strong engineering instincts and clear data storytelling skills. 
 
Description 
 
You will be the face of the metrics team for cross-functional partners, owning KPIs end to end from definitions and instrumentation to reporting. You will build a strong understanding of our on-device telemetry, engineering workflows, CI/CD practices, and data systems, and use that context to create clear, reliable metrics. You will work closely with engineering, data science, and leadership to drive alignment and decisions. 
 
Preferred Qualifications 
 
Experience with telemetry, observability, and measuring reliability or performance. 
 
Ability to partner with engineers to diagnose and root cause data issues through understanding instrumentation and system behavior 
 
Experience influencing engineering or product decisions using data. 
 
Familiarity with distributed systems, modern analytics stacks, and privacy-aware measurement. 
 
Minimum Qualifications 
 
BS/MS in Computer Science, Data Engineering, or equivalent experience and 6+ years experience applying data science techniques to real business problems. 
 
Strong ability to turn ambiguous product or business questions into clear data solutions. 
 
Strong programming and data skills, including SQL and Python, and experience with large-scale data pipelines. 
 
Experience defining KPIs that reflect real product health. 
 
Experience with data quality, validation, and large datasets. 
 
Strong communication skills and comfort working across teams. 
 
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 $172,100 and $305,600, 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.

Senior Data Scientist, AI, Search & Knowledge Platforms

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science &amp; Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most - our customers' privacy and trust. 
 
Description 
 
As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem.&quot;,&quot;responsibilities&quot;:&quot;As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development. 
 
You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements. 
 
Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation. 
 
You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple. 
 
Preferred Qualifications 
 
Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) 
 
Track record designing client-agnostic APIs using REST and/or GraphQL 
 
Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc.) 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience 
 
7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems 
 
2+ years of experience in technical leadership roles focused on platform engineering or infrastructure 
 
Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) 
 
Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) 
 
Proven development skills building backend API services using Python (preferred) and/or JavaScript 
 
Practical experience with asynchronous programming, type safety, threading models, state machines and data structures 
 
Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake 
 
Experience with managed cloud platforms such as AWS, GCP, Azure 
 
Excellent communication skills to collaborate with non-technical audience 
 
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.

Senior Software Engineer, Data Science & Analytics Platform Engineering

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science &amp; Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. 
 
We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic team, whose goal is to provide innovative products at the intersection of causal inference, statistics, and machine learning to help drive key business decisions and optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value. 
 
Description 
 
As an Applied ML Science Manager, you will have the responsibility of leading a highly talented team of scientists and engineers dedicated to pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers, focusing on Services such as Apple TV, Apple Music, Apple One, and the App Store. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key business initiatives and marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. Beyond technical leadership, you will be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving within your team.&quot;,&quot;responsibilities&quot;:&quot;Lead, mentor, and grow a high-performing team of Applied Scientists and Machine Learning Engineers, fostering a culture of innovation and collaboration 
 
Drive team goals, priorities, and career development, including recruitment and onboarding 
 
Oversee the technical strategy, design, and full lifecycle of scalable, robust Causal Inference and Machine Learning products 
 
Manage timelines, resources, and deliverables, ensuring projects are completed on time, within scope, and communicated to stakeholder teams 
 
Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into technical specifications and deliver impactful, practical solutions, increasing internal adoption of causal inference approaches and democratizing data 
 
Stay abreast of the latest advancements in causal inference and AIML research, evaluating and integrating new frameworks where appropriate 
 
Champion best practices in software engineering, MLOps, code quality, testing, documentation, and ensure compliance with data privacy and security 
 
Preferred Qualifications 
 
PhD in related field 
 
Hands-on experience leveraging Generative AI to improve productivity and generate new insights 
 
Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action 
 
Minimum Qualifications 
 
Master&rsquo;s degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field 
 
3+ years of experience in a leadership or management role, leading Applied Scientists, Machine Learning Engineers and Data Scientists 
 
5+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role 
 
Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression discontinuity design, interrupted time series, and propensity score matching 
 
Working knowledge of Marketing Mix models and validation through Matched Market testing 
 
Practical expertise leveraging Customer Lifetime Value models to drive business decision-making 
 
Solid understanding of AIML technologies including Generative AI 
 
Proven track record of successfully delivering complex projects from start to finish 
 
Proficiency in programming languages such as Python, R, SQL, Java, or C++ 
 
Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices 
 
Excellent communication, collaboration, and presentation skills with meticulous attention to detail 
 
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 $198,300 and $342,800, 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 ML Science Manager

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. 
 
Description 
 
The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting. The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. Deep understanding and ability to compare predictive models, evaluate their strengths and weaknesses in a particular context, and interpret and explain model results to a broad group of technical and non-technical stakeholders are also a plus. Competitive candidates will also have experience working closely with data engineers to build efficient, scalable solutions. We are looking for a thoughtful and creative data scientist to join a team that creatively adapts state-of-the art analytical techniques to real-world business problems with an approach focused on rapid development, evaluation, and iterative improvement. Continuous learning is part of the job, both as it relates to technical skills and within the content and format of advertising domain&quot;,&quot;responsibilities&quot;:&quot;4+ years of recent experience in a data science role. 
 
Bachelor's in computer science, mathematics, or another quantitative field 
 
Command over Python and SQL. 
 
Comfort with cloud technologies such as AWS and Snowflake. 
 
Experience with Big Data tools such as Hadoop, Spark and PySpark. 
 
Experience in quantitative analysis including regression, classification, linear optimization, supply chain analytics, and time-series analyses. 
 
Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product. 
 
Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems. 
 
Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production. 
 
Preferred Qualifications 
 
Masters degree or Ph.D. in a quantitative discipline. 
 
Experience in the digital advertising industry or a related field and/or experience with demand forecasting 
 
Willingness to learn, both technically and in the domain of the data. 
 
Familiarity with packages like numpy, pandas, scikit-learn, and prophet 
 
Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins. 
 
Experience and/or interest in deep learning, LLMs, and Natural Language Processing. 
 
Minimum Qualifications 
 
5+ years of experience in Business Analytics, Data Science, or a related analytical role 
 
Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques 
 
Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences 
 
Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions 
 
Proficiency in SQL and data visualization, with a strong eye for design and clarity 
 
Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn 
 
Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms 
 
Bachelor&rsquo;s degree in a related field, or equivalent industry 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.

Machine Learning Data Scientist - Predictive Semantics Team, Apple Ads

This role sits at the intersection of health, technology, and human potential, shaping how ordinary people understand, manage, and improve their well-being. As Senior Clinical AI Product Scientist, you will help transform real-world health insights into foundation models that empower individuals to make meaningful, sustainable changes in their daily lives. Your work will not only guide the technical direction of groundbreaking health AI systems, it will advance a more supportive, accessible, and human-centered future for everyone seeking to live healthier. 
 
Description 
 
The Senior Clinical AI Product Scientist in Health AI will serve as a pivotal leader in the intersection of clinical medicine, machine learning, and product development. You define and drive the technical and product requirements for next-generation foundational AI systems that serve healthcare providers, patients, caregivers, and consumers. Leveraging your deep product and technical experience in machine learning and , you will lead end-to-end development of health foundation models for medical record processing, clinical workflows, and patient-facing applications. You will conduct stakeholder research across clinical domains, architect AI systems in healthcare settings, define validation and evidence-generation frameworks, and make informed technical decisions from research through production deployment.&quot;,&quot;responsibilities&quot;:&quot;Lead cross-functional teams (data science, machine learning engineering, clinical informatics) to develop foundational AI systems in the healthcare domain. 
 
Define product strategy and technical requirements novel AI health models and their application in user products and research. 
 
Conduct user research and discovery with stakeholders (clinicians, informaticists, patients, caregivers) to identify real-world problems and translate them into actionable product and ML requirements.. 
 
Design and execute evaluation frameworks to ensure high reliability, regulatory compliance, and adoption of AI solutions in healthcare. 
 
Mentor and lead teams: supervise ML scientists and engineers, provide technical leadership, ensure best practices in ML, product design, and usability. 
 
Maintain thought leadership: represent the organization at conferences, publish or present work, track emerging trends in health AI / LLMs and drive innovation. 
 
Preferred Qualifications 
 
Advanced degree (e.g., M.S., Ph.D.) in Computer Science. 
 
Experience working with electronic health record (EHR) systems and clinical natural language processing (NLP) applications 
 
Track record of developing and deploying foundational LLMs/AI models in consumer settings. 
 
Experience designing and conducting evaluation. 
 
Familiarity with product development, regulation, and privacy considerations, in the health/life sciences field. 
 
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 
 
Minimum of 10 years of experience in healthcare AI/ML or intelligent systems/ML with demonstrated expertise in ML, or large language models (LLMs), or foundation models in the healthcare domain. 
 
Proven track record of leading machine learning project and taking AI systems from research through production deployment and adoption. 
 
Demonstrated experience coordinating across multiple functional areas (data science, clinical informatics, engineering) to deliver complex AI products. 
 
Bachelor&rsquo;s degree in Computer Science, or related area of study, or equivalent 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 $203,300 and $365,400, 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.

Senior Clinical AI Product Scientist - Health AIML

Explore 99+ Data scientist subscription analytics in Cupertino this March. Find roles across top companies and apply now to boost your career.