• 8+ years of experience working as a software engineer in data or backend with exposure to large datasets or distributed systems
• 4+ years working on platforms or infrastructure
• 2+ years working on machine learning platforms
• Know-how with orchestration systems (such as Airflow, Dagster, or Argo)
• You've put machine learning models into production

Desirable

• The Machine Learning Platform (MLP) at Discord is responsible for the end-to-end model lifecycle across all ML applications
• We sit at the intersection of machine learning engineers (MLEs), core infrastructure, and ML consumers to provide tools, capabilities, and services that make machine learning easy, safe, and widely accessible
• In this role, you will work on everything from feature stores, real-time data processing, LLM tooling, and model serving at scale
• You will lead projects and work directly with ML practitioners as well as other staff+ engineers to shape the landscape of Discords backend data systems
• You will report to the Senior Engineering Manager of the ML Platform team
• Design and build the platform ML engineers and data scientists use to understand and delight Discord's users and keep them safe
• Evaluate and integrate new machine learning frameworks and tools to ensure that Discord keeps up with the fast moving world of ML, including LLMs and generative AI
• Collaborate with model builders to ensure we have a smooth path from idea to production
• Set best practices in machine learning at Discord
• Create foundational datasets and models