4 hours ago
Base Salary
$210k - $360k/yr
Responsibilities
- Design signal-processing algorithms, metrics, and ML models to derive insights from large-scale speech and audio data.
- Build scalable pipelines for analyzing, filtering, deduplicating, and curating speech and audio datasets.
- Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams.
- Collaborate with Operations to gather training and evaluation datasets that improve model quality.
- Architect resilient systems for inference and evaluations.
- Translate research papers and ideas into maintainable, production-ready software and assess model quality against user experience and business value.
Requirements
- 3+ years of professional engineering or applied research experience in data systems, algorithms, applied ML, information retrieval, speech, or audio.
- Strong Python skills and experience building maintainable, production-quality software.
- Experience owning ML pipelines from proof of concept through production deployment.
- Experience deploying ML systems for production inference with cloud technologies.
- Preferred experience with speech, audio, digital signal processing, data curation, search and retrieval, embeddings, clustering, deduplication, sampling, model inference, pretrained models, open-source software, or research publications.
- A master's degree or PhD in Computer Science or a related field is a preferred qualification.
Benefits
- Unlimited paid time off.
- Health, dental, and vision coverage, with 100% coverage for most plans.
- FSA and HSA access.
- 401(k) access.
- Meals twice daily through DoorDash, plus office snacks and beverages.
- Unlimited company-sponsored Barry’s classes.
Tech Stack
Categories
Data EngineeringML Engineering
About David AI
David AI builds high-quality audio datasets and data services for training speech and multimodal AI, offering collection, labeling, and R&D-grade curation. Founded in 2024 and headquartered in San Francisco, it sells to AI labs and enterprises developing voice products on a services/contract basis. The company is privately held and has raised a Series B to scale its audio data operations.