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 scientist

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

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+

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

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

Do you get excited by building AI applications to enhance the evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. 
 
Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations. 
 
We are seeking a highly innovative and passionate Applied AI Scientist to develop cutting-edge AI/ML models for the automatic grading and quality assessment of our internal GenAI products. 
 
Description 
 
In this pivotal role, you will design and advance state-of-the-art autograder systems that evaluate various AI product quality at scale. 
 
You will apply deep expertise in prompt engineering, foundation model adaptation, and evaluation methodology to build robust, trustworthy, and extensible autograders that assess product performance, user experience, and adherence to quality and safety standards. 
 
Then you will collaborate with product, annotation, evaluation data scientists, autograder tooling engineers to deploy the state-of-the-art autograders, directly impacting the quality and success of Apple&rsquo;s next-generation AI-powered features. 
 
Preferred Qualifications 
 
Experience in developing AI models specifically for quality assessment or automated feedback generation. 
 
Familiarity with human annotation operations, sampling strategies, or subjective judgment evaluation. 
 
Experience in designing human-in-the-loop evaluation workflows. 
 
Familiar with image quality evaluation. 
 
Demonstrated passion for leveraging AI to improve work efficiency and scale. 
 
Minimum Qualifications 
 
Extensive experience with prompting techniques. 
 
Deep understanding of GenAI models and 1+ year of industry experience in building or evaluation GenAI models. 
 
Familiarity with LLMOps processes for deploying, monitoring and hillclimbing AI models in production environments. 
 
Excellent analytical skills and judgement, capable of assessing data quality, diagnosing autograder limitations or biases, synthesizing findings into actionable insights, and communicating them clearly across teams. 
 
MS/PhD degree in Computer Science, Machine Learning, AI, or a related fields. 
 
Ownership mindset with the flexibility to take on whatever tasks-including annotation or operational work-are necessary to deliver results. 
 
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.

AIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation

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

Explore 70+ Machine learning scientist in Cupertino this March. Find roles across top companies and apply now to boost your career.