---
title: 'Research Staff, Data Science at Deepgram'
canonical: 'https://feeny.ai/job/research-staff-data-science-deepgram-united-states-pf9zk68t5qs2'
type: 'job'
last_seen: '2026-09-13'
---

# Research Staff, Data Science at Deepgram

- **Company:** Deepgram
- **Location:** United States
- **Compensation:** $150k–$220k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-23
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/Deepgram/fdb4073a-4c1c-48d6-b6d5-f407d3e78d17/application

**Skills:** Python, Pytorch, Statistical methods, Deep learning models, Signal processing, Data processing pipelines, Data acquisition, Data cleaning, Data serving, Data transformation, Model building, Speech and audio experience

> Deepgram seeks a Senior Data Scientist to build scalable data pipelines and advanced models for next-generation voice AI. The role involves driving data acquisition, developing audio characterizations, and collaborating with engineering to create automated systems for high-value data labeling and benchmarking.

## Job description

Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. 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. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

Company Operating Rhythm 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. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

The Opportunity Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.

## The Role

Deepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial “data factory” that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.

The Challenge We are seeking Research Staff who:

- See "unsolved" problems as opportunities to pioneer entirely new approaches
- Can identify the one critical experiment that will validate or kill an idea in days, not months
- Have the vision to scale successful proofs-of-concept 100x
- Are obsessed with using AI to automate and amplify your own impact

If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.

## What You'll Do

- Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models
- Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models
- Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs
- Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems
- Document and present results of data experiments and analysis for internal and external audiences

You’ll Love This Role If You

- Are obsessed with making sense out of complex and/or messy data
- Enjoy building from the ground up and love to create new systems from scratch
- Are passionate about AI and interested in leveraging data to solve hard problems
- Are motivated by the prospect of scaling yourself using automation and AI models

It's Important to Us That You Have

- Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation
- Experience and expertise applying statistical methods and deep learning models to understand complex data
- Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience
- Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch

Nice to Haves

- Background in Physics, Mechanical Engineering or Language Processing
- Experience building models
- Speech and audio experience

Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @[deepgram.com](http://deepgram.com) email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

## About Deepgram

## Company Overview
- **One-liner**: Deepgram is a foundational AI company building real-time voice AI infrastructure for developers and enterprises to power speech-to-text, text-to-speech, and voice agent applications.
- **Entity Type**: Private (Series C, Unicorn status)
- **Headquarters**: San Francisco, California, USA (remote-first, distributed across 20+ states and 5+ countries)
- **Founded**: 2015
- **Founders**: Scott Stephenson (CEO), Adam Sypniewski, Noah Shutty

## Core Business
- **Primary industry**: Voice AI / Artificial Intelligence / Speech Recognition
- **Target customers**: Developers, product teams, enterprises, and platforms embedding voice AI (B2B, B2D)
- **Mission statement**: To transform the way humans interact with machines by unlocking the productivity of the world through voice technology

## Products & Services
- **Speech-to-Text (STT)**: Real-time and batch transcription with models like Nova-3 (world’s most accurate real-time STT) and Flux Multilingual (first conversational STT in 10 languages). Available via cloud or self-hosted. [deepgram.com](https://deepgram.com/)
- **Text-to-Speech (TTS)**: Aura-2, professional-grade enterprise TTS for natural voice output. [deepgram.com](https://deepgram.com/)
- **Voice Agent API**: A unified API that combines STT, TTS, and LLM orchestration into a single endpoint, reducing complexity, latency, and cost for building conversational AI agents. [deepgram.com](https://deepgram.com/)
- **Custom Models**: Ability to train custom speech models for unique use cases and domain-specific vocabulary. [deepgram.com](https://deepgram.com/)
- **Saga (Voice OS)**: An operating system for voice applications, announced as a platform-level offering. [linkedin.com](https://www.linkedin.com/company/deepgram)
- **Deepgram for Restaurants**: Vertical solution for drive-thru and restaurant voice ordering (95%+ containment), powered by the acquisition of OfOne. [linkedin.com](https://www.linkedin.com/company/deepgram)

## Market Standing
- **Valuation**: $1.3 billion unicorn status (as of Series C in 2024) [deepgram.com](https://deepgram.com/about)
- **Key Metric**: $130 million in Series C funding (total raised: ~$202M+ including $72M Series B) [deepgram.com](https://deepgram.com/about)
- **Notable Investors/Partners**: Y Combinator, NVIDIA (proud partner), with Series C led by prominent venture firms [ycombinator.com](https://www.ycombinator.com/companies/deepgram)
- **Growth Signals**: Processed 50,000+ years of audio and 1 trillion+ words; trusted by 200,000+ developers and 1,300+ organizations; acquired OfOne for restaurant voice AI; launched Flux Multilingual, Nova-3, Aura-2, and Saga in rapid succession [linkedin.com](https://www.linkedin.com/company/deepgram)

## Competitive Advantages
- **Foundational AI moat**: Deepgram is a research-driven company that builds its own end-to-end deep learning models (not wrappers), giving them control over accuracy, latency, and cost.
- **Unified API advantage**: A single Voice Agent API that replaces the need to stitch together separate STT, TTS, and LLM components—reducing complexity and latency.
- **Scale and experience**: The most experienced voice AI platform in the world, having processed the largest volume of voice data (50,000+ years of audio).
- **Enterprise-grade reliability**: Offers on-premise/self-hosted deployment options for compliance-heavy industries (healthcare, finance, legal).
- **NVIDIA partnership**: Access to scalable GPU infrastructure for training and inference, differentiating them from competitors.

## Strategic Focus
- **Voice AI Economy leadership**: Positioning Deepgram as the infrastructure layer for the emerging "trillion-dollar Voice AI economy."
- **Multilingual expansion**: Launching Flux Multilingual to capture global markets beyond English.
- **Vertical industry penetration**: Moving beyond horizontal API into vertical solutions (restaurants via OfOne acquisition, medical transcription).
- **Agentic AI**: Doubling down on Voice Agent API and autonomous voice agents as the next growth vector.
- **Platform expansion**: Building Saga (Voice OS) to become the operating system for all voice applications.

## Why Work Here
- **Remote-first culture**: Deepgram is a remote-first company with employees across 20+ states in the US and 5+ countries. They offer freedom and flexibility to work from anywhere. [deepgram.com](https://deepgram.com/careers)
- **Strong benefits package**: Medical, dental, vision insurance; mental health support; unlimited PTO; 12 paid US holidays; parental leave; 401(k) with company match; wellness stipend; learning/education stipend; quarterly productivity stipend; one-time office upgrade stipend. [deepgram.com](https://deepgram.com/careers)
- **Inclusive environment**: Active Employee Resource Groups (ERGs) and a stated commitment to "every voice, heard and understood." [deepgram.com](https://deepgram.com/careers)
- **Annual offsites**: While remote-first, the company convenes annually for in-person offsites to foster collaboration and connection. [deepgram.com](https://deepgram.com/careers)
- **Engineering culture**: Values include "be curious," "grow together," "do the right thing," "think smart, act fast," and "put the customer first." The culture is described as self-motivated, positive, passionate, and competitive. [deepgram.com](https://deepgram.com/careers)
- **Research-driven environment**: Deepgram was founded by physicists and maintains a strong research team (Research Scientist, Research Engineer roles), offering the chance to work on cutting-edge AI. [ycombinator.com](https://www.ycombinator.com/companies/deepgram)
- **Salary transparency**: Publicly lists salary ranges for roles (e.g., Research Scientist $150K-$250K, SDR $50K-$60K), indicating compensation transparency. [ycombinator.com](https://www.ycombinator.com/companies/deepgram)

## Sources
1. [deepgram.com - Careers Page](https://deepgram.com/careers)
2. [deepgram.com - Product Page](https://deepgram.com/)
3. [deepgram.com - About Page](https://deepgram.com/about)
4. [ycombinator.com - Deepgram Profile](https://www.ycombinator.com/companies/deepgram)
5. [linkedin.com - Deepgram Company Page](https://www.linkedin.com/company/deepgram)

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