Research Engineer, Post-Training

Deepgram, a voice AI platform providing real-time speech-to-text, text-to-speech, and voice-agent APIs, is hiring a Research Engineer, Post-Training to turn vague customer problems into measurable model improvements. The role spans evaluation design, data curation, fine-tuning, and shipping production fixes to customers within weeks.

• Identify where Deepgram's voice models fall short and set targets for measurable improvement.
• Design evaluations that show whether a model is better and explain why.
• Curate and generate training data, then fine-tune models to address customer-facing gaps.
• Build working systems quickly and ship them to production, owning a customer problem until it measurably improves.
• Expand models to new languages and regions.
• Improve text-to-speech pronunciation of names, terms, and numbers, and isolate a speaker's voice from background noise and crosstalk.
• Give customers early access to new voice capabilities such as steerable and cloned voices, use their feedback to guide research methodology, and release new benchmarks for Voice AI use cases.

• Deep experience training, fine-tuning, and evaluating deep learning models.
• Strong Python and PyTorch skills.
• A track record of shipping machine learning to production.
• A habit of owning problems end to end and learning what is needed along the way.
• Good judgment about which problems matter and when a result is ready to ship.
• No specific degree is required; candidates should demonstrate hard problems solved in past projects, shipped systems, or open-source work.
• Active use and experimentation with advanced AI tools, including integrating AI into workflows and building tools into everyday work; AI application is measured as part of performance.
• Comfort adapting quickly to new AI models and modes of working in a fast-changing environment.

• Full-time position.
• Listed locations: USA
• Remote;
  San Francisco, CA;
  New York City, NY.
• Remote work does not imply worldwide eligibility. Residency, work authorization, time-zone, language, and travel requirements are not specified in the source and must be checked in the original listing.

• Experience with speech-to-text, text-to-speech, or voice agents.
• Experience with distributed training.
• Published papers, open-source contributions, or public benchmarks.

• Annual salary range: $178,000-$268,000 USD.

Employer-published remote role. Listed location(s): USA

• Remote;
  San Francisco, CA;
  New York City, NY. Remote does not imply worldwide eligibility. Check the original listing for residency, work authorization, time zone, language and travel requirements.

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 e 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.

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…