Research Engineer, Agents
AnthropicFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires extensive experience working with Large Language Models (LLMs), a deep understanding of transformer architecture, and hands-on work on data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.
You will brainstorm and collaborate with other members of the Research Staff to define new LLM research initiatives and conduct broad surveying.
Strong candidates see unsolved problems as opportunities to pioneer new approaches, can identify critical experiments quickly, have vision to scale proofs-of-concept 100x, and are obsessed with using AI to automate and amplify impact.
This information is not specified in the job description.
This information is not specified in the job description.
Speech recognition APIs for audio transcription
Deepgram specializes in artificial intelligence for speech recognition, offering a set of APIs that developers can use to transcribe and understand audio content. Their technology allows clients, ranging from startups to large organizations like NASA, to process millions of audio minutes daily. Deepgram's APIs are designed to be fast, accurate, scalable, and cost-effective, making them suitable for businesses needing to handle large volumes of audio data. The company operates on a pay-per-use model, where clients are charged based on the amount of audio they transcribe, allowing Deepgram to grow its revenue alongside client usage. With a focus on the high-growth market of speech recognition, Deepgram is positioned for future success.