Design and build critical services that support Apple Intelligence, machine learning and computer vision efforts across the company, specifically on platforms responsible for orchestrating and managing distributed machine learning workloads on Apple hardware.
Requirements
- Strong software development skills, proficiency in relevant languages (e.g. Python)
- Experience designing and building services and APIs, especially micro-services
- 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
- 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
Responsibilities
- Lead the architecture, design, development, and operations of systems designed for running machine learning workloads across all of Apple’s platforms and devices.
- These may include, but not limited to data management systems, engineering workflow systems, distributed compute systems and user-facing UIs and APIs.
- Partner with various teams and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality.
- In this role you will be working on 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.
- Support junior engineers by providing advice, coaching and educational opportunities.
Other
- Obsessed with the end user experience; previous experience in taking a product from design & inception to production
- 5 years of industry experience in software development
- Master or PhD in Computer Science or equivalent industry work experience
- BS in Computer Science or equivalent industry work experience
- This is a highly collaborative role and you will be working with key partners across the company.
