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Apple AI/ML — Data Engineer ML Innovation United States, Washington, Seattle 193209818
01.06.2024
Description
You will be responsible for designing and building data applications to enable on-device and device/server side combined ML 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.
Key Qualifications
- Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
- Hands-on experience with managing and monitoring data collection and analytics pipelines at the application level
- Experience with SQL / NoSQL databases
- Experience with Object oriented programming languages like Java / Scala / Python
- Experience with Kubernetes or similar technologies
- Working knowledge of Trino
- Experience with Log processing and mining frameworks like Splunk, Prometheus, etc
- Experience with deploying and managing CI pipeline with Jenkins or similar tools
- Experience with Machine Learning platforms is a plus
Education & Experience
BS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent 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 $131,500 and $243,300, and your base pay will depend on your skills, qualifications, experience, and location.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.
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