Applied Audio ML Engineer
Hybrid (San Francisco, CA)$150k - $260kFull-timePosted 11mo ago
About the role
Role focused on building cutting-edge speech and audio models, production inference systems, and resilient pipelines for audio data applications at David AI.
Responsibilities
- Research, design, and implement solutions using advanced signal processing algorithms and cutting-edge ML models for speech and audio.
- Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams to unlock insights from data for customers.
- Collaborate with Operations to gather training and evaluation datasets to improve model quality.
- 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 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/infrastructure investments.
- Ability to assess model quality in the context of user experience and business value.
Skills
Required:Audio MLPythonPyTorch
Benefits
- Rapid career growth at a fast-growing Series A company.
- Competitive salary and equity package.
- Flexible PTO policy.
- Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
- Paid lunch and dinner in the office, every day through DoorDash.
- 401k access.
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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