AIML - Sr. Software Development Engineer, ML Platform Technology (MLPT)

Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products and services? Do you want to shape the next generation of ML developer experience?

In Apple's Machine Learning Platform Technology & Infra team, we have built the platform that Apple uses for developing LLM, vision, and other machine learning applications. As a software engineer on our team, you will be responsible for designing & building services and functionalities for the model training software systems that are part of this platform!

Our platform is built using a variety of systems and services, from databases to web services, to search engines, data lakes, and graph engines hosted on the cloud. We use existing systems when possible but do not shy away from rolling components ourselves. As a team, we have a variety of technical backgrounds, from machine learning engineers to builders of large-scale production systems. We exemplify a team of inclusive, hard-working, pragmatic, proficient, product-focused engineers.

As a software engineer on the Training Platform team, you have the following responsibilities:

• Contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but are 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.
• Help build the platform upon which other teams will develop data pipelines and machine learning applications.
• Collaborate with a group of engineers to deliver high-quality products/services.
• Be able to learn and stay on top of current technologies and apply them in the job.
• Contribute to the services (ML Training & Eval Metrics, Lineage, Query & Search) that power the ML lifecycle at Apple.

Come join us and be part of shaping the future of machine learning at Apple!