- Design, build, and operate high-load distributed backend services that power the company's ML infrastructure
- Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement
- Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
- Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
- Be responsible for what you and your team do
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