AIML-Sr. Data Engineer, Measurement

Seattle, Washington, United States

Apple

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Summary

Posted: Nov 6, 2024

Role Number:200577575

We are looking for an experienced software engineer to build 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 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)


Preferred Qualifications


  • Experience with Machine Learning platforms is a plus


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 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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Tags: Computer Science Distributed Systems Engineering Java Jenkins Kafka Kubernetes Machine Learning NoSQL Pipelines Python Scala Spark Splunk SQL

Perks/benefits: Career development Equity / stock options Health care Relocation support

Region: North America
Country: United States

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