Apple
AIML-Sr. Data Engineer, Measurement
Apple, Seattle, Washington, us, 98127
AIML-Sr. Data Engineer, Measurement
Seattle,Washington,United States
Machine Learning and AI
We are looking for an experienced software engineer to build online Experimentation platforms to empower Apple engineers in delivering great user experiences. We are addressing key challenges to accelerate the adoption of ML across all the OSes and Apple products/services operating at the scale of 2+ billion devices. Our work is complex, challenging and highly visible. Collaborate with data scientists and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting applications & services.
Description
The mission for Measurement organization is to measure, understand and proactively improve all Apple features. As part of this organization, you'll be responsible for enhancing the experimentation platform that will be used by all teams across Apple. You will be responsible for designing and building data applications to enable on-device and server side experimentation workflows. For example, build data service to analyze telemetry from billions of devices in a timely fashion and deliver data-driven insights to inform product launches. In this role, you will collaborate with cross-functional partners, customers across Apple to build platform roadmap for next 2-3 years. You have a background that fuses data engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.
Minimum Qualifications
Experience with online experimentation systems
Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
Experience with managing and monitoring data collection and analytics pipelines at the application level
Working knowledge of Trino, Iceberg, and SQL / NoSQL databases
Experience with Object oriented programming languages like Java / Scala / Python
Experience with Kubernetes or similar technologies
Experience with Log processing and mining frameworks like Splunk, Prometheus, etc
Experience with deploying and managing CI pipeline with Jenkins or similar tools
M.S. in Computer Science or a related field
8-10 years of industry experience or (B.S. + 10-12 years of industry experience)
Key Qualifications
Preferred Qualifications
Experience with Machine Learning platforms is a plus
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 $133,800 and $265,300, 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) .
Seattle,Washington,United States
Machine Learning and AI
We are looking for an experienced software engineer to build online Experimentation platforms to empower Apple engineers in delivering great user experiences. We are addressing key challenges to accelerate the adoption of ML across all the OSes and Apple products/services operating at the scale of 2+ billion devices. Our work is complex, challenging and highly visible. Collaborate with data scientists and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting applications & services.
Description
The mission for Measurement organization is to measure, understand and proactively improve all Apple features. As part of this organization, you'll be responsible for enhancing the experimentation platform that will be used by all teams across Apple. You will be responsible for designing and building data applications to enable on-device and server side experimentation workflows. For example, build data service to analyze telemetry from billions of devices in a timely fashion and deliver data-driven insights to inform product launches. In this role, you will collaborate with cross-functional partners, customers across Apple to build platform roadmap for next 2-3 years. You have a background that fuses data engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.
Minimum Qualifications
Experience with online experimentation systems
Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
Experience with managing and monitoring data collection and analytics pipelines at the application level
Working knowledge of Trino, Iceberg, and SQL / NoSQL databases
Experience with Object oriented programming languages like Java / Scala / Python
Experience with Kubernetes or similar technologies
Experience with Log processing and mining frameworks like Splunk, Prometheus, etc
Experience with deploying and managing CI pipeline with Jenkins or similar tools
M.S. in Computer Science or a related field
8-10 years of industry experience or (B.S. + 10-12 years of industry experience)
Key Qualifications
Preferred Qualifications
Experience with Machine Learning platforms is a plus
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 $133,800 and $265,300, 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) .