Job Details

Role Number: 200628708-3401

Summary

Apple’s Knowledge Infrastructure powers features across a variety of Apple products including Siri, Spotlight, Safari, Messages and Lookup. The Knowledge Infrastructure team works on creating and maintaining the pipelines to build the Knowledge Graph which integrates data assets from various heterogeneous sources into a unified knowledge representation, interacting with Web data sources and large language models to power advanced retrieval augmented generation features. We work on problems at the intersection of large scale data management and machine learning, while deploying solutions to a modern cloud-based infrastructure with an advanced technology stack.

Description

Apple’s Knowledge Platform team is looking for a talented, result-oriented, creative problem-solver System Engineer who can help manage and maintain large-scale, data-driven systems to enable the growth of the Knowledge Platform. As a member of this team you will be responsible for deploying and monitoring micro-services and pushing the envelop of large scale retrieval augmented generation systems. You will work on building large scale Web data extraction pipelines, and you will also be responsible for managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure. You will be working with bleeding-edge ML technologies to train, deploy and test large scale models that solve a number of problems at the intersection of data pipelines and natural language processing.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science or equivalent work experience.

• Background in computer science: algorithms, data structures, and distributed systems

• Experience working in a cloud-native environment such as AWS

• Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.)

• Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.)

• Experience with observability tools for monitoring applications (Prometheus, DataDog, etc.)

Preferred Qualifications

• Experience with training and fine-tuning large language models is a plus

• Experience with Scala and Go is a plus

• Excellent interpersonal skills, able to work independently as well as in a team

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 $147,400 and $272,100, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .