Research Staff – Applied Voice AI

Deepgram

. Find where Deepgram's models fall short and set targets for improvement .

Posted 10/19/2026full-timeRemote • United StatesLead💰 $150,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in training, fine-tuning, and evaluating deep learning models, with a strong focus on shipping machine learning solutions to production. Proficient in Python and PyTorch, with the ability to translate customer problems into actionable metrics and improvements.

Highest-signal resume keywords

Deep Learning Model TrainingPython ProgrammingPyTorch FrameworkMachine Learning Production DeploymentSpeech-to-Text and Text-to-Speech Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningModel Fine-TuningModel EvaluationMachine LearningDistributed Training

Soft Skills

Good JudgmentProblem Ownership

Industry Keywords

Voice AIText-to-SpeechSpeech RecognitionVoice AgentsBenchmarking

Tech Stack

Tools & technologies

Open SourcePythonPyTorch

About the role

Key responsibilities & impact

Find where Deepgram's models fall short and set targets for improvement
Design evaluations showing whether a model is better and why
Curate and generate data and fine-tune models
Build working systems quickly and ship them to production
Turn vague customer problems into clear metrics
Use fine-tuning, new data, and external models to solve customer problems
Own customer problems until they measurably improve in production
Find the fastest path to a fix, including untested approaches
Determine when results are ready for customers
Expand models to new languages and regions
Improve text-to-speech pronunciation of names, terms, and numbers
Isolate speakers' voices from background noise and crosstalk
Give customers early access to new voice capabilities and use feedback to guide research methodology
Release new benchmarks for Voice AI use cases

Requirements

What you’ll need

Deep experience training, fine-tuning, and evaluating deep learning models
Strong Python and PyTorch skills
Track record of shipping machine learning to production
Experience owning problems end to end and learning as needed
Good judgment about which problems matter and when a result is ready to ship
Experience with speech-to-text, text-to-speech, or voice agents may be beneficial
Experience with distributed training may be beneficial
Published papers, open source contributions, or public benchmarks may be beneficial
Must be legally authorized to work in the country where the role is located
Must not require visa sponsorship to work in the country where the role is located

Benefits

Comp & perks

Equity
10% annual bonus
Bonus eligibility
Remote work arrangement