AIML - Sr Data Engineer, Data and ML Innovation

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Do you want to play a part in building groundbreaking technology for large-scale systems, natural language, big data, and artificial intelligence? The vision of AIML Data and ML Innovation organization is to improve products by using data as the voice of our customers. We are seeking a passionate and experienced Data Engineer to play a pivotal role in revolutionizing how we process and use substantial datasets as the heart of Siri, Search and Machine Learning. You will be instrumental in data processing framework, powered by technologies such as Spark or Iceberg. You will collaborate closely with teams with varied strengths (i.e. Data Scientists and Analysts, other Engineering teams, Machine Learning teams) to transform massive data into valuable, actionable datasets. You will also build data processing platform that fuel our innovative features and future machine learning area.
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.
  • 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.
  • 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
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.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

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. Learn more about your EEO rights as an applicant.

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