Data Scientist (AI)

Location: USA — Remote

Salary: Tier 1 estimated base salary $178,000–$220,000 annually; Tier 2 $165,000–$205,000 annually, plus equity, bonus, and a 10% annual bonus.

Company

Deepgram provides real-time speech-to-text, text-to-speech, and voice-agent APIs, as well as self-hosted and on-premises voice AI software.

What you will do

• Analyze conversational audio data across languages, accents, dialects, domains, speakers, acoustic conditions, and quality dimensions.
• Design and build active-learning loops that prioritize data work based on expected model performance gains.
• Develop human-in-the-loop workflows, tooling, and model-assisted processes that use human attention efficiently.
• Create curated datasets and benchmarking methodologies for representative evaluation of speech model quality.
• Run experiments on data strategies, model confidence, failures, and metadata to identify measurable improvements.
• Turn domain-specific model adaptation into repeatable, documented, and automated pipelines.

Requirements

• Hands-on experience with real data pipelines and model-facing problems in data science, machine learning, or applied research.
• Strong Python and data-tooling skills, including building analyses, scoring systems, and automation.
• Experience with data characterization, data selection, active learning, or related prioritization problems.
• Working familiarity with speech, audio, or NLP models and their output quality, confidence scores, and error modes.
• Ability to turn ambiguous data problems into measurable model or product improvements and build reusable systems.
• Strong communication skills and active use of AI tools in daily work.

Nice to have

• Experience with ASR, TTS, audio data, or multilingual and 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.
• Experience collaborating directly with research and engineering teams on shared infrastructure.

Culture & Benefits

• AI-first working environment where employees are expected to experiment with and build AI tools.
• Hands-on role with latitude to define a data science area from first principles.
• Fast-changing environment focused on experimentation, adaptability, collaboration, and continuous learning.
• Compensation includes equity, bonus eligibility, and a 10% annual bonus.
• Equal-opportunity workplace with accommodations available for applicants who need them.