Senior Audio ML Research Engineer

David AI; San Francisco (CA); On-site; USD 210,000 - 360,000; Full time

Benefits offered by this job

Unlimited PTO

Health, dental, vision coverage

FSA & HSA access

401k access

Meals 2x daily through DoorDash

Barry’s classes

Job summary

David AI in San Francisco is seeking an ML Research Engineer to build cutting-edge speech and audio models, design production inference systems, and create resilient data pipelines. You will own end-to-end ML work from research to deployment.

The role requires 5+ years in audio ML, strong Python and PyTorch skills, and experience deploying models in cloud environments. Collaboration with cross-functional teams to deliver high-quality training data and scalable insights.

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.

Responsibilities

• Research, design, and implement solutions using advanced 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.

Skills

Audio ML

DSP

Production ML

Python

PyTorch

Cloud deployment

Research to production

Education

PhD or Masters in CS/related

Tools

Python

PyTorch

Job description

David AI in San Francisco is seeking an ML Research Engineer to build cutting-edge speech and audio models, design production inference systems, and create resilient data pipelines. You will own end-to-end ML work from research to deployment.

The role requires 5+ years in audio ML, strong Python and PyTorch skills, and experience deploying models in cloud environments. Collaboration with cross-functional teams to deliver high-quality training data and scalable insights.