Apple is looking to make Siri and Apple products smarter for its users by building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features built are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. The universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.
Requirements
- Strong coding skills
- Strong background in computer science, algorithms, data structures and analytics
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Experience with Kafka
- Flink is a big plus
- Have experience building systems to evaluate quality for search or other AI-oriented areas
Responsibilities
- develop the streaming indexing infrastructure and pipeline that enable near real-time content indexing, ensuring fresh content becomes available to Siri users immediately
- build a scalable indexing pipeline and critical infrastructure components to make this possible
- develop the systems we use to evaluate the quality of our AI models and products
- help us leverage a combination of human and automated methods to accelerate robust iteration and development of new models and product features
- work cross functional with MLE, DS, Infra and others
Other
- Fast learner, have a voracious and intrinsic desire to learn and fill in missing skills
- Excellent interpersonal skills able to work independently as well as in a team
- MS or PhD in Computer Science or related field
