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About the Role
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?
Responsibilities
- 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.
- 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.
Requirements
- 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.
Skills
- Python
- Data systems
- Algorithms
- Applied ML
- Information retrieval
- Speech and audio
- Signal processing
- ML models
- Data processing pipelines
- Inference algorithms
- Inference pipelines
- APIs
- Cloud technologies
- Speech processing
- Audio processing
- Digital signal processing
- Data curation
- Search and retrieval
- Embeddings
- Clustering
- Deduplication
- Sampling
- Model inference systems
- Production workflows
- Open-source software
Experience Level
- 3+ years of professional engineering or applied research experience
Education Level
- PhD or Masters in Computer Science or a related field
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
About the Company
- David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
- David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
- Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.