Apple
AIML - ML Data Scientist, Safety & Red Teaming
Apple, San Francisco, California, United States, 94199
AIML - ML Data Scientist, Safety & Red Teaming
Summary Posted: Oct 30, 2024 Weekly Hours:
40 Role Number: 200576439
Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for data scientists and engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. In this role, you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on LLM's. As a member of the Apple HCMI/Responsible AI group, you will be working on Apple's generative models that will power a wide array of new features, as well as longer term research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in models. Description - Research and develop Responsible AI evaluation methods to improve the quality of Apple Intelligence's user facing products. - Create evaluation data sets to solve difficult, non-routine analysis problems; applying sophisticated analytical methods as needed. - Conduct analyses that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations. - Build and prototype analysis pipelines iteratively to provide insights at large-scale. - Develop extensive knowledge of data structures and metrics, advocating for changes where needed for product development. - Partner closely with engineering teams on core machine learning algorithms and systems that are part of how features work.
Minimum Qualifications
Strong programming skills: Including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala). Proficiency in data science, machine learning, and analytics: Including statistical data analysis and A/B testing. Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience articulating and answering business questions by applying statistical techniques to available data sources. Experience collecting and analyzing crowd-sourced data, language data, image data, and/or multi-modal data. Strong interpersonal skills: Proven ability to explain difficult technical topics (esp. causal topics) to everyone from data scientists to engineers to business partners. Work with highly-sensitive content with exposure to offensive and controversial content.
Preferred Qualifications
Experience working in the Responsible AI space. Experience dealing with highly multi-labeled, nuanced, and often conflicting data sources. Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements. History driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to cut through ambiguity and know when to dive deep. Advanced degree or equivalent experience in a quantitative field such as Statistics, Operations Research, Bioinformatics, Cognitive Science, Economics, Linguistics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar field. 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.
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.
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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Summary Posted: Oct 30, 2024 Weekly Hours:
40 Role Number: 200576439
Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for data scientists and engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. In this role, you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on LLM's. As a member of the Apple HCMI/Responsible AI group, you will be working on Apple's generative models that will power a wide array of new features, as well as longer term research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in models. Description - Research and develop Responsible AI evaluation methods to improve the quality of Apple Intelligence's user facing products. - Create evaluation data sets to solve difficult, non-routine analysis problems; applying sophisticated analytical methods as needed. - Conduct analyses that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations. - Build and prototype analysis pipelines iteratively to provide insights at large-scale. - Develop extensive knowledge of data structures and metrics, advocating for changes where needed for product development. - Partner closely with engineering teams on core machine learning algorithms and systems that are part of how features work.
Minimum Qualifications
Strong programming skills: Including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala). Proficiency in data science, machine learning, and analytics: Including statistical data analysis and A/B testing. Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience articulating and answering business questions by applying statistical techniques to available data sources. Experience collecting and analyzing crowd-sourced data, language data, image data, and/or multi-modal data. Strong interpersonal skills: Proven ability to explain difficult technical topics (esp. causal topics) to everyone from data scientists to engineers to business partners. Work with highly-sensitive content with exposure to offensive and controversial content.
Preferred Qualifications
Experience working in the Responsible AI space. Experience dealing with highly multi-labeled, nuanced, and often conflicting data sources. Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements. History driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to cut through ambiguity and know when to dive deep. Advanced degree or equivalent experience in a quantitative field such as Statistics, Operations Research, Bioinformatics, Cognitive Science, Economics, Linguistics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar field. 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.
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.
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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