Apple
AIML - Sr Data Scientist, Siri and Apple Intelligence, Data and ML Innovation
Apple, Cupertino, California, United States, 95014
Summary
Posted: Aug 29, 2024
Weekly Hours:
40
Role Number: 200562292
Would you like to shape the future of AI based product experiences? Want to contribute to transforming how human beings interact with technology across hundreds of millions of customers and billions of interactions? We are looking for a Sr Data Scientist to optimize product features that leverage AI and Apple Intelligence. This involves using a broad array of quantitative methods, including developing scalable analytical and engineering methods to find insights from user behavior and LLM training data. The scope will span all areas of AI based products such as Siri’s functionality, and extend into Apple’s new Apple Intelligence product strategy, with the goal of uncovering insights that improve product quality aligned with the future of AI based product experiences.
Description
As a Sr Data Scientist for Siri Assistant and Apple Intelligence, you will use statistical analysis of structured data to deepen our understanding of how hundreds of millions of people use Siri and other AI based product experiences across an array of devices, including iPhone, HomePod, Mac, and new products yet-to-be-released, and across endless use cases from music to home automation and general knowledge discovery. You will be responsible for:
Develop metrics and measurement framework that guide iterative product improvement for AI based user experiences.
Employ a diverse toolkit of analytical approaches, methodologies, frameworks, and technical strategies to uncover opportunities to improve user experience of AI based products.
This includes insights on the performance of the underlying LLMs that these products depend on.
Develop tools with scalable analytical and engineering approaches that expedite and simplify finding insights from user behavior and LLM training data.
Investigate world-wide product usage to identify weaknesses and opportunities to make the product better.
Define metrics and design A/B tests with instrumentation to assess the success of new features.
Build relationships with Engineering leads and product partners across the AIML product ecosystem to drive a privacy-first strategy for analytical insight.
Build credibility with product partners through clarity, structured and user-centric thinking.
Minimum Qualifications
Proven experience as a data science practitioner.
Proficiency with applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling analytical tools.
Experience with understanding the complexity of user behavior for AI based product experiences, as well as designing, analyzing, and interpreting A/B experiments.
Strong programming skills in data manipulation & processing including SQL, Python, and ideally software engineering experience.
Self-motivated and curious with creative and critical thinking capabilities and drive to figure out and improve how things work.
High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
Excellent verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations.
Proven experience in cultivating partner relationships and influencing decisions with data.
Master’s degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics or Physics.
Preferred Qualifications
PhD preferred.
Software Engineering experience.
Pay & 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 $143,100 and $264,200, 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.
More
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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Posted: Aug 29, 2024
Weekly Hours:
40
Role Number: 200562292
Would you like to shape the future of AI based product experiences? Want to contribute to transforming how human beings interact with technology across hundreds of millions of customers and billions of interactions? We are looking for a Sr Data Scientist to optimize product features that leverage AI and Apple Intelligence. This involves using a broad array of quantitative methods, including developing scalable analytical and engineering methods to find insights from user behavior and LLM training data. The scope will span all areas of AI based products such as Siri’s functionality, and extend into Apple’s new Apple Intelligence product strategy, with the goal of uncovering insights that improve product quality aligned with the future of AI based product experiences.
Description
As a Sr Data Scientist for Siri Assistant and Apple Intelligence, you will use statistical analysis of structured data to deepen our understanding of how hundreds of millions of people use Siri and other AI based product experiences across an array of devices, including iPhone, HomePod, Mac, and new products yet-to-be-released, and across endless use cases from music to home automation and general knowledge discovery. You will be responsible for:
Develop metrics and measurement framework that guide iterative product improvement for AI based user experiences.
Employ a diverse toolkit of analytical approaches, methodologies, frameworks, and technical strategies to uncover opportunities to improve user experience of AI based products.
This includes insights on the performance of the underlying LLMs that these products depend on.
Develop tools with scalable analytical and engineering approaches that expedite and simplify finding insights from user behavior and LLM training data.
Investigate world-wide product usage to identify weaknesses and opportunities to make the product better.
Define metrics and design A/B tests with instrumentation to assess the success of new features.
Build relationships with Engineering leads and product partners across the AIML product ecosystem to drive a privacy-first strategy for analytical insight.
Build credibility with product partners through clarity, structured and user-centric thinking.
Minimum Qualifications
Proven experience as a data science practitioner.
Proficiency with applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling analytical tools.
Experience with understanding the complexity of user behavior for AI based product experiences, as well as designing, analyzing, and interpreting A/B experiments.
Strong programming skills in data manipulation & processing including SQL, Python, and ideally software engineering experience.
Self-motivated and curious with creative and critical thinking capabilities and drive to figure out and improve how things work.
High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
Excellent verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations.
Proven experience in cultivating partner relationships and influencing decisions with data.
Master’s degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics or Physics.
Preferred Qualifications
PhD preferred.
Software Engineering experience.
Pay & 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 $143,100 and $264,200, 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.
More
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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