Summary
Posted: Jul 31, 2023
Weekly Hours: 40
Role Number: 200493570
The Data Infrastructure group within the AI/ML organization powers the analytics, experimentation and ML feature engineering that powers the Machine Learning technologies we all love in our Apple devices. Our mission is to provide cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data while keeping Apple's users' data private and secure. Are you a passionate about building scalable, reliable, maintainable infrastructure and solving data problems at scale? Come join us and be part of the Data Infrastructure journey.
Key Qualifications

• 12 years of experience in software engineering with deep knowledge in computer science fundamentals.
• Strong in data structures and algorithms. Must write good quality code with test cases and review PR's in fast faced environment.
• Expert in one or more functional or object-oriented programming languages (Scala, Java)
• Fluent in at least one scripting or systems programming language (Python, Bash and Go etc.)
• Experience or knowledge in distributed data systems like Hadoop, Spark, Kafka or Flink.
• Experience or knowledge in public cloud is a big plus, preferably AWS.
• Strong collaboration and communication (verbal and written) skills to work with diff

Description
The role involves managing petabytes of data for machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines. The successful candidate will be responsible for ensuring complete data lineage and legal workflow integration while optimizing performance and scalability. You will also be responsible for monitoring the performance of the system, optimizing it for cost and efficiency, and solving any issues that arise. This is an exciting opportunity to work on cutting-edge technology and collaborate with cross-functional teams to deliver high-quality software solutions. The ideal candidate should have a strong background in software development, experience with public cloud platforms, and familiarity with distributed databases.
Education & Experience
BS, MS, or PhD degree in Computer Science or equivalent
Additional Requirements

• Preferred:
• * Familiarity with distributed databases, such as DynamoDB, MongoDB, or Cassandra.
• * Experience with containerization and orchestration technologies, such as Docker and Kubernetes.

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 $161,700.00 and $284,900.00, 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.