Job Details

Applied Audio ML Engineer

  2025-11-15     David AI Labs     San Francisco,CA  
Description:

About our Machine Learning team

Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily.

About this role

As an Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do.

In this role, you will

  • Research, design, and implement solutions using advanced signal processing. algorithms and bleeding 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.

Your background looks like

  • 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.

Bonus points if you have

  • PhD or Masters in Computer Science or a related field.
  • Experience training generative AI models.
  • Expertise in audio signal processing both classical and machine learning techniques.

Compensation and benefits

  • Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
  • 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.
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