• Improve Deepgram’s core data ingestion, cataloging, and transformation services including areas in networking, speech processing, audio transcoding, and latency and memory optimization • Engineer ML training code to be performant and highly extensible, rapidly enabling large-scale training of new foundational model architectures • Develop processes for measuring, building, and optimizing services to maximize system performance • Debug complex system issues that include networking, scheduling, database, and other persistence store interactions • Partner with DataOps and Research to design and implement new services, features, and/or products end to end