Applied Audio ML Engineer

About the role

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.

See the posting on David AI's site