Search the 7 jobs at Deepgram

Seeking a frontend developer to join the full-stack team focused on product-led growth. Responsibilities include building features, developing, testing, and deploying web applications using Elm, React, and other frontend technologies, and collaborating with designers and product managers.

Deepgram is seeking a Mid Market/Enterprise Account Executive to drive new customers and revenue. Responsibilities include building a strong sales pipeline, collaborating with cross-functional teams, understanding customer needs, and maintaining key relationships.

Deepgram is seeking an experienced Research Scientist to work on building models in the voice AI domain. The role involves developing accurate and performant voice AI models using deep learning techniques. The candidate should have experience in areas such as automatic speech recognition, text-to-speech, diarization and speaker identification, language detection, and code switching. They should also have expertise in speech data curation, neural network architectures for speech, distributed training, and model optimization.

Seeking Data Scientists to drive data acquisition, preparation, and synthesis pipelines for speech and language AI models. Collaborate with teams to develop advanced characterizations of conversational audio and create automated labeling systems.

Deepgram is seeking a Research Scientist to work on building new speech and language AI foundation models across modalities and tasks. The role involves designing experimental programs, driving large-scale training jobs, optimizing model architectures, and staying updated with the latest advances in deep learning. A PhD in Physics, Electrical Engineering, Computer Science, or a related field is required for this internship role at Deepgram.

Deepgram is looking for a user-focused Product Manager to spearhead the strategy and implementation of innovative applications that leverage cutting-edge Voice AI models.

Backend engineer focused on AI inference at Deepgram, implementing and optimizing inference code, experimenting with cutting-edge technologies, and developing services for speech inference APIs.