Research Scientist
Hybrid (San Francisco)$210k - $360kFull-timePosted 2mo ago
About the role
Research Scientist role at David AI focusing on building cutting-edge speech and audio models, production inference systems, and resilient data pipelines to enable high-quality audio datasets for AI labs and enterprises.
Responsibilities
- Research, design, and implement solutions using signal processing, algorithms and cutting edge ML models with application to speech and audio.
- Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers.
- Collaborating with our Operations team to gather useful training and evaluation datasets to improve the quality of our models.
- Architect systems that enable resilient, durable inference and evaluations.
Qualifications
- 5+ years of professional audio ML experience, including DSP and ML audio algorithm development.
- End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
- Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch.
- Ability to translate research papers and ideas into high-quality, production-ready code.
- Experience deploying ML systems for production inference with cloud technologies.
- Track record of setting ML roadmaps, influencing technical direction, and prioritizing research and infrastructure investments.
- Ability to assess model quality in the context of user experience and business value.
Skills
Required:PythonPyTorchDSP
Benefits
- Unlimited PTO.
- Top-notch health, dental, and vision coverage with 100% coverage for most plans.
- FSA & HSA access.
- 401k access.
- Meals 2x daily through DoorDash + snacks and beverages available at the office.
- Unlimited company-sponsored Barry’s classes.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About David AI
Data for audio AI
ai-infrastructure-and-developmentwing-list-2026wing-list-2026-mid-stage
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