AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

Apple is seeking an ML engineer for the Knowledge team to work at the forefront of AI, processing massive amounts of data for Apple's knowledge base. In this role, you'll design and implement robust, scalable data/ML pipelines in a dynamic, continuously-integrated environment. These pipelines will process an ever-growing data set while maintaining low latency and high quality. You'll collaborate closely with diverse data sources to integrate new knowledge and work with engineers across Apple to deliver knowledge for customer-facing services. Your responsibilities will include developing tools and tests to ensure quality and diagnose issues.

The Apple Knowledge Platform team is building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features developed by this team are redefining how hundreds of millions of people use their computers and mobile devices to search and find information. As part of this group, you'll work with one of the most exciting high-performance computing environments, handling petabytes of data and millions of queries per second. This role offers the opportunity to imagine and build products that delight Apple customers every day.

Key Responsibilities:

• Design and implement scalable data/ML pipelines
• Process and analyze massive amounts of data
• Integrate new knowledge from diverse data sources
• Collaborate with engineers across Apple
• Develop tools and tests for quality assurance and issue diagnosis
• Work in a cloud-native environment
• Utilize large-scale data processing technologies
• Implement micro-service architecture in containerized environments
• Work with CI/CD pipelines for building, testing, and deploying code

This role offers an exciting opportunity to work on cutting-edge AI technology and contribute to products that impact millions of users worldwide.