Apple
AI/ML — Senior Data Engineer, ML Innovation
Apple, Seattle, Washington, us, 98127
AI/ML — Senior Data Engineer, ML Innovation
Location: Seattle, Washington, United States
Machine Learning and AI
We are looking for an experienced software engineer to build Machine Learning & 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 1+ billion devices. Our work is complex, challenging and highly visible. Collaborate with ML and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting applications & services.
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 across Apple to build platform roadmap for the next 2-3 years.
Minimum Qualifications
Experience in building large scale data processing and distributed systems using technologies 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
Preferred Qualifications
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 $135,400 and $250,600, 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. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses — including tuition.
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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Location: Seattle, Washington, United States
Machine Learning and AI
We are looking for an experienced software engineer to build Machine Learning & 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 1+ billion devices. Our work is complex, challenging and highly visible. Collaborate with ML and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting applications & services.
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 across Apple to build platform roadmap for the next 2-3 years.
Minimum Qualifications
Experience in building large scale data processing and distributed systems using technologies 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
Preferred Qualifications
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 $135,400 and $250,600, 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. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses — including tuition.
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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