Research Engineer
David AI
Research Engineer
David AI
AI dataset marketplace with bounty system
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.
Our Research 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.
As a Research Engineer at David AI, you'll build algorithms and systems that turn large-scale speech and audio collections into high-quality datasets. You'll tackle questions like: What makes a recording useful? How do we measure and improve dataset quality?
Design algorithms and metrics using advanced signal processing algorithms and cutting edge ML models with to derive insights from thousands of hours of audio data.
Build scalable data processing pipelines for analyzing, filtering, deduplicating, and curating large speech and audio datasets.
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.
3+ years of professional engineering or applied research experience in areas such as data systems, algorithms, applied ML, information retrieval, or speech and audio.
Strong Python skills and experience building maintainable, production-quality software.
End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
Ability to translate research papers and ideas into high-quality, production-ready code.
Experience deploying ML systems for production inference with cloud technologies.
Ability to assess model quality in the context of user experience and business value.
Experience with speech, audio, or digital signal processing.
Experience with data curation, search and retrieval, embeddings, clustering, deduplication, or sampling.
Experience building model inference systems or integrating pretrained models into production workflows.
Experience in publishing in top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.
Experience in releasing, maintaining, contributing to open-source softwares.
PhD or Masters in Computer Science or a related field.
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.
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.
David AI runs a specialized data marketplace for AI applications. It connects AI model developers with data providers, allowing them to exchange high-quality datasets. The platform uses a bounty system: developers request datasets or data services, and providers claim bounties or list their datasets in a catalog. Revenue comes from transaction fees and possible premium subscriptions, with an emphasis on ensuring data quality, clear data rights, and fair pay for providers. The goal is to make it easier to obtain diverse, well-captioned datasets that improve AI model training and performance.
Explore more opportunities at David AI