Apple is looking to build a platform that enables the next generation of intelligent experiences on Apple products & services by designing and building critical services that support Apple Intelligence, machine learning and computer vision efforts across the company.
Requirements
- Experience using system monitoring tools and automated testing frameworks
- Experience delivering distributed systems and services in a production setting
- Experience with Kubernetes and cloud infrastructure
- Experience with Machine Learning and ML lifecycle / deployment
- Strong software development skills, proficiency in relevant languages (e.g. Python)
- Familiarity with relational database systems such as PostgreSQL, and experience with distributed systems and services
- Proficiency with CI/CD, Container orchestration technologies like Kubernetes & EC2
Responsibilities
- Lead the architecture, design, development, and operations of systems designed for running machine learning workloads across all of Apple’s platforms and devices
- Partner with various teams and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality
- Build core infrastructure that teams across the company leverage to deliver ML powered products and features
- Lead a group of engineers to deliver high quality products/services
- Be able to stay on top of innovative technologies and apply them in the job
- Design and build services and APIs, especially micro-services
- Work on platforms responsible for orchestrating and managing distributed machine learning workloads on Apple hardware
Other
- 2+ years of industry experience in software development
- BS in Computer Science or equivalent industry work experience
- Master or PhD in Computer Science or equivalent industry work experience
- Obsessed with the end user experience; previous experience in taking a product from design & inception to production
- Ability to work in a collaborative environment
