Apple
ML - Data Scientist
Apple, Sunnyvale, California, United States, 94087
ML - Data Scientist
Sunnyvale,California,United States
Hardware
Do you have a passion for computer vision and deep learning? The Video Engineering Data Analytics and Quality (DAQ) group is looking for an experienced Data Scientist with a strong background in computer vision and machine learning to join our dynamic team. The ideal candidate will be responsible for evaluating machine learning models, developing performance metrics, and conducting thorough failure analysis. This role requires a deep understanding of machine learning algorithms, data processing, and model optimization techniques.
Description
Our organization manages a diverse array of programs, each presenting a unique set of challenges, however, all programs fundamentally focus on evaluating machine learning algorithms and assessing their quality. In this role, you will work closely with cross-functional teams, leveraging the expertise of domain specialists and project owners while adapting our methodologies as we gain new insights. We aim to support teams in identifying gaps, assessing risks and driving towards impactful outcomes. IN THIS ROLE YOU WILL: - Evaluate Machine Learning Models: Analyze and validate machine learning and computer vision models to ensure they meet performance standards. - Develop Metrics: Design and implement metrics to measure the effectiveness and accuracy of models. - Failure Analysis: Perform detailed failure analysis to understand model weaknesses and identify areas for improvement. - Data Processing: Preprocess and clean large datasets to prepare them for modeling. - Model Optimization: Optimize models for performance and scalability, applying state-of-the-art techniques. - Collaborate: Work closely with cross-functional teams, including software engineers, product managers, and other data scientists, to integrate models into production.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Solid background in data science, machine learning, Computer vision and statistical data analysis
Advanced programming skills in data manipulation & processing (SQL & Python preferred)
Demonstrated experience in in-depth analysis of machine learning model failures
Experience crafting, conducting, analyzing, and interpreting experiments and investigations
Expertise in data wrangling and developing data visualizations & reporting with toolings such asTableau, Superset, AWS etc.
Key Qualifications
Preferred Qualifications
Experience managing complex programs
Familiar with machine learning interpretability method
Familiar with various foundation models such as CGPT4V, LLAMA, CLIP
Detail-oriented to keep track of and understand the workings of complex algorithms
Self-motivated, curious, creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs
Outstanding verbal and written communication skills, along with strong collaborative abilities
Education & Experience
Additional Requirements
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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
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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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Sunnyvale,California,United States
Hardware
Do you have a passion for computer vision and deep learning? The Video Engineering Data Analytics and Quality (DAQ) group is looking for an experienced Data Scientist with a strong background in computer vision and machine learning to join our dynamic team. The ideal candidate will be responsible for evaluating machine learning models, developing performance metrics, and conducting thorough failure analysis. This role requires a deep understanding of machine learning algorithms, data processing, and model optimization techniques.
Description
Our organization manages a diverse array of programs, each presenting a unique set of challenges, however, all programs fundamentally focus on evaluating machine learning algorithms and assessing their quality. In this role, you will work closely with cross-functional teams, leveraging the expertise of domain specialists and project owners while adapting our methodologies as we gain new insights. We aim to support teams in identifying gaps, assessing risks and driving towards impactful outcomes. IN THIS ROLE YOU WILL: - Evaluate Machine Learning Models: Analyze and validate machine learning and computer vision models to ensure they meet performance standards. - Develop Metrics: Design and implement metrics to measure the effectiveness and accuracy of models. - Failure Analysis: Perform detailed failure analysis to understand model weaknesses and identify areas for improvement. - Data Processing: Preprocess and clean large datasets to prepare them for modeling. - Model Optimization: Optimize models for performance and scalability, applying state-of-the-art techniques. - Collaborate: Work closely with cross-functional teams, including software engineers, product managers, and other data scientists, to integrate models into production.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Solid background in data science, machine learning, Computer vision and statistical data analysis
Advanced programming skills in data manipulation & processing (SQL & Python preferred)
Demonstrated experience in in-depth analysis of machine learning model failures
Experience crafting, conducting, analyzing, and interpreting experiments and investigations
Expertise in data wrangling and developing data visualizations & reporting with toolings such asTableau, Superset, AWS etc.
Key Qualifications
Preferred Qualifications
Experience managing complex programs
Familiar with machine learning interpretability method
Familiar with various foundation models such as CGPT4V, LLAMA, CLIP
Detail-oriented to keep track of and understand the workings of complex algorithms
Self-motivated, curious, creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs
Outstanding verbal and written communication skills, along with strong collaborative abilities
Education & Experience
Additional Requirements
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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .