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Apple AIML - Sr Data Engineer ML Innovation United States, Washington, Seattle 731828879
18.11.2024
Description
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.
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.
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
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 $166,600 and $296,300, 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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