Research Staff, Applied Voice AI

At Deepgram, a leader in Voice AI technology, the research team focuses on advancing speech-to-text, text-to-speech, and voice agent capabilities through cutting-edge AI models. The company supports a vast developer community and enterprise clients by delivering highly accurate, low-latency voice solutions accessible via cloud or on-premises deployments. This role is embedded within the research department, contributing directly to the evolution of Deepgram's voice AI platform.

The Research Staff member will tackle real-world customer challenges by identifying limitations in existing voice AI models and rapidly developing improvements. Daily tasks include designing evaluation metrics, fine-tuning models with curated data, and shipping enhancements to production within weeks. The position demands creativity, agility, and a customer-centric mindset to translate vague problems into measurable outcomes and deliver impactful solutions at scale.

Ideal candidates possess deep expertise in deep learning model training and evaluation, strong Python and PyTorch skills, and a proven track record of deploying machine learning systems in production. Experience with speech technologies and distributed training is advantageous. The role is fully remote within the USA, requiring adaptability to a fast-paced, AI-first environment where continuous learning and experimentation are essential.