David AI
Research Engineer
$210K–$360K
San Francisco · On-site · Full-time · Posted Oct 23, 2026
- Experience
- 3+ years of professional engineering or applied research experience; areas include data systems, algorithms, applied ML, information retrieval, or speech and audio.
About the job
Build algorithms and scalable systems that analyze speech and audio collections and turn them into high-quality datasets for customers.
What you'll do
- Design algorithms and metrics to assess audio data using signal processing and machine learning.
- Build pipelines for analyzing, filtering, deduplicating, and curating large speech and audio datasets.
- Develop production inference algorithms, pipelines, APIs, and systems for resilient inference and evaluations.
What they ask for
- Strong Python skills and experience building maintainable, production-quality software.
- Experience owning ML pipelines end-to-end, from proof of concept through production deployment.
- Experience deploying production ML inference systems using cloud technologies.
- Ability to translate research ideas into production-ready code and evaluate model quality in context.
Nice to have
- Experience with speech, audio, or digital signal processing.
- Experience with data curation, search and retrieval, embeddings, clustering, deduplication, or sampling.
Pay
$210K – $360K (base salary)
Tools
Python, NeurIPS, ICML, ICLR, CVPR
AI focus
Research and productionize speech and audio processing algorithms and ML systems to assess, curate, and improve large-scale datasets.
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