Distributed Systems Engineer - Instructional Products
Join a great team responsible for delivering instructional content for iOS, macOS,
watchOS, tvOS, through Siri, and on the web! Our team has created and maintains an evolving, cutting edge, cloud-based content development, management and delivery system platform that powers contextual help, Tips, Apple Intelligence features, and comprehensive user guides for all Apple's hardware and software products.
We are seeking a Distributed Systems Engineer with expertise in search and a working
knowledge of machine learning concepts and systems. Your role will primarily involve
developing backend services and creating data and inference pipelines. This position is
ideal for those passionate about enhancing search features using advanced machine
learning methods.
- Proficient with various programming languages such as Go, Python, Typescript, Java
- Expertise working with database technologies such as Mongo, Redis, S3
- Expert knowledge of API design and interface technologies (JSON, ProtoBuf, REST,
- RPC, XML, etc)
- Strong coding skills and solid understanding of algorithms and data structures
- Experience with AWS Services such as Amazon S3, EC2, EKS / Kubernetes
- Experience with event-based messaging systems such as Kafka
- Experience in Machine learning and/or Natural Language Processing
- Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
- Ability to design, perform experiments, and influence engineering direction and product roadmap
- Solid understanding of the software development process, including unit testing and release management
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.