Deepgram Offices

Research Engineer responsible for identifying weaknesses in voice AI models, defining improvement targets, designing evaluations, curating and generating data, fine-tuning deep learning models, and rapidly shipping production systems. The role emphasizes end-to-end ownership of customer problems, measurable production improvements, practical judgment, and fast experimentation. Candidates should have strong Python and PyTorch skills, production ML experience, and ideally experience with speech technologies, distributed training, publications, open source, or public benchmarks.

Research and improve voice AI models by identifying production weaknesses, defining evaluation metrics, curating data, fine-tuning deep learning systems, and rapidly shipping solutions. The role focuses on speech-to-text, text-to-speech, voice agents, model evaluation, customer-driven research, and production machine learning systems.

Drive new customer acquisition and revenue growth across Fortune 500 accounts in the greater New York area. Build executive relationships through in-person engagement, self-prospect for new opportunities, manage complex enterprise sales cycles, exceed targets, and expand existing accounts. Partner with Marketing, SDR, Partner, Sales Operations, Sales Engineering, and Customer Success teams while developing expertise in Deepgram’s Voice AI products and competitive landscape.