Summary
Want to own the platform that enables the next generation of intelligent experiences on Apple products & services? In Apple's Machine Learning Platform team we have built the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications. As a senior software engineer on our team, you will be responsible for designing & building components that support the model training compute infrastructure of this platform.

Key Qualifications
Experience with batch scheduling systems and high-performance computing environments
Proven experiences using system monitoring tools, automated testing frameworks and CI/CD pipelines
Strong software development skills, with proficiency in relevant languages (ex. Golang, Python)
Experience with public cloud infrastructure like Kubernetes, Amazon EC2 and EKS, Google Cloud Platform
Experience with GPUs and/or other ML accelerators in the context of Machine Learning
Experience building APIs and backend services including asynchronous distributed system of microservices
Experience with relational database management systems (ex. PostgreSQL, MySQL) and message queue systems (ex. Kafka)
A passion for making simple, robust, and scalable platforms used by other engineering teams

Description
As a senior software engineer on AIML - ML Platform team you have the following responsibilities:

- Own the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but not limited to, data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components.
- Partner with data scientists and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality. In this role you are building the platform upon which other teams will develop data pipelines and machine learning applications.
- Lead a group of engineers to deliver high quality products/services. Be able to stay on top of state-of-the-art technologies and apply them in the job. During the process, support junior engineers by providing advice, mentoring and educational opportunities.

Education & Experience
Bachelors, Masters or PhD in Computer Science, or equivalent work experience

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