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Job description
About David AI
At David AI, our vision is to bring impactful AI into billions of lives through voice. Our mission is to help the world's leading AI companies build better voice models and agents. We're building the data and evaluation infrastructure behind those models.
Founded in 2024, we're a fast-growing Series B company backed by NVIDIA, Meritech, First Round, YC, and others, with ~70 people across San Francisco and New York City.
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 a Research Scientist 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 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.
Collaborate 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 large neural network models in academic or industry settings.
Expertise in audio signal processing both classical and machine learning techniques.
Experience in publishing in top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.
Benefits
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry's classes.
Visas
We sponsor international candidates across several visa types, including H-1B transfers, H-1B1, O-1, E-3, and TN. We also hire candidates on STEM OPT. If you’re on OPT, we’ll want to confirm you have a path to one of the visas listed above before your OPT ends. While we can’t guarantee any individual outcome, we’ve successfully sponsored teammates from all over the world.