AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

at  Apple

SUMMARY

Posted: Jul 25, 2024
Role Number:200560660
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The Apple Knowledge Platform team is building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

DESCRIPTION

Apple is hiring an ML engineer for Knowledge team . You’ll be working at the frontier of AI, crunching massive amounts of data for Apple’s knowledge base. In a dynamic, continuously-integrated environment, you’ll design and implement robust, scalable data/ML pipelines capable of processing an ever-growing data set while keeping latency low and quality high. You’ll work closely with diverse data sources to integrate new knowledge, and with engineers from across Apple to deliver knowledge for customer-facing services. Your responsibilities will also include developing tools and tests to ensure quality and help diagnose issues.

• 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 CI/CD pipelines for building, testing, and deploying code (Jenkins, Spinnaker, etc.)
• Bachelor’s, Master’s degree in Computer Science or equivalent work experience

PREFERRED QUALIFICATIONS

• Experience with observability tools for monitoring applications (Prometheus, DataDog, etc.)
• Experience with Scala and Go is a plus
• Excellent interpersonal skills, able to work independently as well as in a team

• 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 CI/CD pipelines for building, testing, and deploying code (Jenkins, Spinnaker, etc.)
• Bachelor’s, Master’s degree in Computer Science or equivalent work experienc