Job Details

Applied Audio ML Engineer

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.