Apple’s Knowledge Infrastructure powers features across a variety of Apple products including Siri, Spotlight, Safari, Messages and Lookup, and the team is looking to solve problems at the intersection of large scale data management and machine learning
Requirements
- 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.)
- Experience with training and fine-tuning large language models is a plus
- Experience with Scala and Go is a plus
Responsibilities
- deploying and monitoring micro-services
- pushing the envelop of large scale retrieval augmented generation systems
- building large scale Web data extraction pipelines
- managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure
- working with bleeding-edge ML technologies to train, deploy and test large scale models
- deploying solutions to a modern cloud-based infrastructure with an advanced technology stack
- interacting with Web data sources and large language models to power advanced retrieval augmented generation features
Other
- Bachelor's or Master's degree in Computer Science or equivalent work experience
- Excellent interpersonal skills, able to work independently as well as in a team
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
- Discretionary bonuses or commission payments as well as relocation
