Senior Data Scientist, Audio

The role

This person will characterize conversational data and design active-learning loops. They will work with research, engineering, and data teams to turn data into model gains.

What you will do

• Understand and characterize data including languages, conditions, domains, speakers, and quality.
• Design and build active-learning loops.
• Design workflows, tooling, and model-assisted steps for human-in-the-loop processes.
• Build curated datasets and methodology for representative benchmarking.
• Run experiments to test data strategies.
• Ensure data consistency, cleanliness, and organization.
• Make data legible and accessible to non-technical teams.
• Turn domain-specific model work into repeatable, documented pipelines.

Required qualifications

• Hands-on work on real data pipelines and model-facing problems in data science, ML, or applied research
• Strong Python and data tooling
• Comfort building analysis, scoring, and automation
• Experience with data characterization, data selection, active learning, or similar problems
• Working familiarity with speech/audio or NLP models
• Track record of turning ambiguous, messy data situations into measurable model or product improvements
• Ability to build reusable systems
• Strong communication skills
• Active AI-tool user

Nice to have

• Direct experience with ASR/TTS, audio data, or multilingual/code-switched data
• Experience with ensemble labeling, pseudo-labeling, or LLM-assisted annotation
• Familiarity with data provenance, PII/GDPR-aware pipelines, or model-improvement compliance
• Experience building custom or fine-tuned models for specific customers or domains
• Comfort working directly with research and engineering teams on shared infrastructure

About the company

Deepgram is a research company that productizes as fast as possible. Their speech models and real-time infrastructure power AI systems for more than 5,000 organizations.