Research Engineer, Machine Learning Systems
Deepgram · Research
- Location
- Remote, California, United States · San Francisco, California, United States · Ann Arbor, MI, Michigan, United States
- Metro
- San Francisco Bay Area, Detroit / Ann Arbor
- Workplace
- Remote
- Level
- Unspecified
- Type
- Full-time
- Pay
- $150K–$250K/yr (published by employer)
- Posted
- 2 months ago
- Source
- Ashby
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What the posting covers
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+…
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…
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…
The Role
Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust…
Key Responsibilities
Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. This includes far more than automated training: the role…
The Challenge
We are seeking Members of the 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…
It's Important to Us That You Have
Strong experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems. Proficiency…
Why Join Deepgram?
At Deepgram, you’ll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML…
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