AIML - Senior Software Data Infrastructure Engineer - Data and ML Innovation
Location
Cupertino, CA | United States
Job description
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Data organization is to improve products by using data as the voice of our customers.
We are seeking a passionate and experienced Senior Data Infrastructure Engineer to play a pivotal role in revolutionizing how we process and utilize massive datasets as the heart of Siri and Search. You will be instrumental in building a unified, cutting edge data processing framework powered by technologies like Spark, and/or Flink. You will collaborate closely with diverse teams to transform raw data into valuable, actionable datasets that fuel our innovative features and future machine learning area.
Key Qualifications
- Proven expertise in large-scale data processing, with a strong track record of working with Spark and/or Flink.
- Demonstrable understanding of distributed computing principles and data engineering best practices.
- Solid programming skills in Python, Java (Scala is desired).
- A genuine passion for working with data and solving complex problems at scale.
Description
You will be at the forefront of designing and implementing a robust data processing framework to streamline Siri and Search log data pipelines, leveraging your expertise in Spark and/or Flink. In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that transform raw data into datasets that drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the framework's capabilities to new user scenarios and cutting-edge machine learning applications. We're looking for someone who thrives on tackling data challenges at scale and stays abreast of the latest advancements in big data processing and distributed systems.
Education & Experience
PhD, MS or BS in Computer Science, Data Science, Engineering or a related field; or equivalent practical experience.
Additional Requirements
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 $170,700.00 and $256,500.00, 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.
You will be at the forefront of designing and implementing a robust data processing framework to streamline Siri and Search log data pipelines, leveraging your expertise in Spark and/or Flink. In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that transform raw data into datasets that drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the framework's capabilities to new user scenarios and cutting-edge machine learning applications. We're looking for someone who thrives on tackling data challenges at scale and stays abreast of the latest advancements in big data processing and distributed systems. PhD, MS or BS in Computer Science, Data Science, Engineering or a related field; or equivalent practical experience.
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