Deepgram

Research Staff, LLMs

USA | Remote · Staff+

Sponsorship not specifiedDetected 65 days ago

PythonDeep LearningPyTorchNLPLLMsResearchCommunicationCollaborationPublic Speaking

About the role

Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency.
There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.

Have an interest in producing and applying new science to help us develop and deploy large language models
Enjoy building from the ground up and love to create new systems.
Can identify the one critical experiment that will validate or kill an idea in days, not months
Are obsessed with using AI to automate and amplify your own impact

Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)
Experience with distributed computing and large-scale data processing

Have the vision to scale successful proofs-of-concept 100x
Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products
3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning

This listing is sourced directly from Deepgram's careers page and normalized into a canonical job model.