AIML - Sr Software Data Infrastructure Engineer - Data and ML Innovation

Apple Inc.; Seattle (WA); On-site; USD 166,000 - 297,000; Full time

Job summary

A leading company is hiring a Sr Software Data Infrastructure Engineer in Seattle. The role involves designing data frameworks that support machine learning applications and streamlining data pipelines using Spark and Python. Ideal candidates possess experience in large-scale data processing, DevOps, and cloud platforms, with a strong educational background in computer science.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Reimbursement for educational expenses

Discounted products and free services

Qualifications

• Demonstrated expertise in large-scale data processing.
• Passion for solving complex problems at scale.
• Understanding of distributed computing principles.

Responsibilities

• Design and implement robust data processing frameworks.
• Optimize performance, ensuring data quality.
• Collaborate with cross-functional teams for metric platform solutions.

Skills

Data Processing

Spark

Python

Scala

Cloud Platforms

Machine Learning

DevOps Practices

Education

B.S. degree in Computer Science or Data Science

PhD or MS in Computer Science

Job description

AIML - Sr Software Data Infrastructure Engineer - Data and ML Innovation

Seattle, Washington, United States Machine Learning and AI

Description

As a Data Infrastructure Engineer, you will be at the forefront of designing and implementing a robust data processing framework to streamline log data pipelines, and a flexible data insights infrastructure, applying your expertise in Spark and Python. In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that process data and build metrics platform, which drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the existing framework's capabilities to new user scenarios and innovative 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 on both device and server side.

Minimum Qualifications

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

Preferred Qualifications

• Metrics infrastructure experience, including metrics sharing, management, version control.
• PhD or MS in Computer Science.

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 seek to promote 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 .