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 design and build services to accelerate and improve the model lifecycle process. Our team focuses on the most fundamental aspects of the ML ecosystem: identity, access, collaboration, and notification. The mission is to provide a reliable, scalable, and enjoyable experience for customers.

We build, deploy and operate critical services that power the Apple ML Lifecycle platform! Engineers in this role work with customers and partners across Apple. This role impacts ML teams and products across the company, providing security, flexibility, and reliability throughout the model lifecycle development process.

Implement REST API services and client SDKs using Golang in combination with Open API. Monitor, measure, test, and optimize the performance, uptime and usability of services managed in cloud-based (Kubernetes) architecture. Support customer and partner integrations across a wide range of ML-focused use cases.

3+ years engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and microservicesStrong skills coding in Golang (3+ years): sophisticated approach to interfaces, concurrency, generics, channels, and unit testsFocus on robust API-based services and client SDKs, including unit and integration testsPassionate about building systems that will stand the test of time and be supported by a teamExcellent interpersonal skills for connecting across teams and partnersBachelors in Computer Science or equivalent industry work experience