4 hours ago
Responsibilities
- Design, build, and operate production systems that distribute compute resources across the company.
- Develop data pipelines, backend services, APIs, and interactive frontends for ML compute capacity management.
- Build telemetry systems, optimization algorithms, policies, and tools to manage demand and improve accelerator-fleet efficiency.
- Create robust queries over large-scale, multi-source data and analyze distributed-system performance.
- Operate highly available services and contribute to capacity planning, cost attribution, and FinOps systems.
- Collaborate in a high-autonomy team through problem solving, performance analysis, and knowledge sharing.
Requirements
- At least 5 years of experience in relevant areas.
- Production proficiency in Python for backend and data-engineering work.
- Experience building data pipelines and querying large-scale, multi-source data using systems such as Trino, PostgreSQL, and Elasticsearch.
- Experience designing and building RESTful APIs and working with cloud storage technologies.
- Experience with modern web frameworks such as React.
- Experience with observability tools such as Prometheus and Grafana or equivalent monitoring systems.
- Strong computer science fundamentals and excellent problem-framing and problem-solving skills.
- Bachelor’s degree or higher in Engineering, Mathematics, Economics, or a related quantitative field.
- Preferred experience operating Kubernetes at production scale, including scheduling, resource management, and cluster debugging.
- Preferred familiarity with accelerator utilization patterns across ML training and inference, plus capacity planning, cost attribution, or FinOps systems.
Tech Stack
Categories
Data EngineeringFull Stack
About Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own. Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.