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 AI/ML - Senior Data Engineer, Siri - New York City, New York, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Other
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200301452 / Latpro-3832914 
Date posted: Oct-16-2021
State, Zip: New York, 10001

Description

AI/ML - Senior Data Engineer, Siri

New York City , New York , United States

Machine Learning and AI

Summary

Posted: Oct 15, 2021

Weekly Hours: 40

Role Number: 200301452

Would you like to play a critical part in the next revolution of human-computer interaction? Would you like to contribute to the advancement of a product that is globally redefining how humans use voice to relate to technology? The AI/ML Data organization seeks to improve products by using data as the voice of our customers. Within AI/ML Data, the mission is to build the scalable & high quality data sets that curate the data required to give our customers their voice. We're looking for exceptional data engineers who are passionate about our product and values; who love working with data at scale; and who are committed to that hard work necessary to continuously improve. As a part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, Hadoop and others. You will be expected to effectively partner with upstream engineering teams and downstream analytical & product consumers.

Key Qualifications

  • 5 - 7+ years of industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Flink, Kafka, etc.) for building efficient & large-scale data pipelines.
  • Software Engineering proficiency in at least one high-level programming language (Java, Scala, Python or equivalent).
  • Experience required in building batch data processing pipelines curating data for data science consumers.
  • Experience strongly preferred building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others.
  • You have excellent written and verbal communication skills.
  • You are tenacious, relentless, & determined
  • You are curious: always learning new technologies, rapidly synthesizing new information, and understanding "the why" before "the what."
  • You are self-directed and capable of operating amid ambiguity.
  • You are poised and display excellent judgment in prioritizing across difficult tradeoffs.
  • You are pragmatic: not letting "the perfect" be the enemy of "the good."
  • You are humble, continually growing in self-awareness and possessing a growth mindset

Description

What will fill your days: Moving between understanding the open & unanswered questions about Siri; to defining new metrics and filters; to specifying new logging necessary with the high-level goal of using data to improve Siri. Designing, creating, and maintaining data pipelines that populate a petabyte scale data warehouse. Working with data infrastructure teams providing input to improve our platform. Working with data producing teams to specify requirements and to transparently provide rapid feedback. Partnering with your teammates across Siri data to answer questions, to provide support, and to innovate in taking our data warehouse to the next level.

Education & Experience

Surprise us! Many will have an MS or BS in CS, Engineering, Math, Statistics, or a related field OR equivalent practical experience in data engineering. 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.



Requirements

See job description

 

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