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AIML - Sr Data Engineer, Data and ML Innovation

Apple
Full-time
On-site
Seattle, Washington, United States

Description

Intelligent data processing team supports data processing for lifecycle of ML product development for Apple’s intelligence efforts, finding innovative ways to make it scalable and efficient. As a Data Engineer, you will be at the forefront of designing and implementing a robust data processing framework to streamline machine learning data pipelines, applying your expertise in Spark and Python. In this collaborative role, you'll partner closely with the Machine Learning teams to design solutions that process data or apply machine learning models, which drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends to support innovative machine learning applications. We're looking for someone who thrives on tackling data challenges at scale and being adaptable.

Minimum Qualifications

  • Demonstrated expertise in large-scale data processing, with a strong background of working with Spark and Python or PySpark.
  • Understanding of distributed computing principles, data engineering and DevOps standard processes.
  • Proven programming skills in Python and Java.
  • A genuine passion for working with data and solving complex problems at scale, in cloud platforms (AWS, GCP).
  • Experience with machine learning and data mining.
  • B.S.degree in Computer Science.

Key Qualifications

Preferred Qualifications

  • Ability to build strong relationships, influence decision-making, and drive projects in a fast-paced environment.
  • Growth mindset and ability to learn new technologies
  • PhD or MS in Computer Science.
  • Exposure to Machine Learning

Education & Experience

Additional Requirements

Pay & Benefits

  • 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.