Research Staff, Data Science

Remote

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$150,000 – $220,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Voice Technology, SoftwareIndustries

Requirements

Candidates should have demonstrated experience solving complex data problems and exploring research frontiers in data science. Expertise in conversational audio, signal processing techniques, and deep learning models is required. A strong ability to identify critical experiments, scale proofs-of-concept, and use AI to automate and amplify impact is expected. The role demands creativity, a relentless drive for elegant and scalable solutions, and an obsession with the problems being addressed.

Responsibilities

The Data Scientist will drive high-performance data acquisition, preparation, and synthesis pipelines for next-generation speech and language AI foundation models. They will develop advanced characterizations of complex conversational audio using a diverse toolkit of signal processing techniques and deep learning models. The role involves collaboration with DataOps and Engineering to create automated systems that scale human annotators' ability to label high-value data and provide critical feedback on model outputs. Additionally, the Data Scientist will build advanced benchmarking systems.

Skills

Data Science

Speech-to-Text (STT)

Text-to-Speech (TTS)

Speech-to-Speech (STS)

Sequence Modeling

Audio AI

Machine Learning

Deep Learning

Python

PyTorch

TensorFlow

Research

Deepgram

Speech recognition APIs for audio transcription

About Deepgram

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.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$100.5MTotal Funding

SERIES_BCompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees

Benefits

Comprehensive Health Plans

FSA Health Matching up to $1,000

Work from Home Ergonomic Stipend

Healthy Food & Snacks in offices

Community Groups

Unlimited Vacation

Risks

Increased competition from open-source solutions like OpenAI's Whisper threatens market share.

Recent layoffs suggest potential financial instability or strategic restructuring challenges.

Integration of Poised may cause disruptions in service or product development.

Differentiation

Deepgram's APIs offer fast, accurate, and scalable speech recognition solutions.

The acquisition of Poised enhances Deepgram's real-time feedback capabilities in virtual meetings.

Aura API provides low-latency, human-like voice models for conversational AI agents.

Upsides

Strategic partnership with Clarifai accelerates AI application development and market expansion.

Aura API positions Deepgram to capitalize on real-time conversational voice AI trends.

Deepgram's technology is used by large enterprises like NASA, indicating strong market trust.

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