2 days ago
Base Salary
$165k - $225k/yr
Responsibilities
- Run rapid experiments based on customer questions and iterate until results support clear action.
- Design ablations and benchmarks with research engineers and convert findings into changes to data collection, production, filtering, and weighting.
- Analyze audio data production, recording conditions, contributor pools, annotation, and QA to identify and fix data-quality issues.
- Build evaluation harnesses, pipelines, and analysis tools to accelerate experimentation across customers.
- Connect findings to the model-improvement lifecycle so data production continuously improves customer models.
- Help define experimentation practices, engineering culture, and the team roadmap.
Requirements
- AI-native coding experience with a record of fast, impact-driven experiments and product features across the stack.
- Strong problem-solving skills and the ability to work independently and collaboratively.
- Ability to turn open-ended research questions into concrete experiments and clear recommendations.
- Excellent communication skills for explaining technical findings to researchers and non-technical stakeholders.
- At least 3 years of relevant engineering or product experience is listed as a bonus qualification.
- A degree in computer science, electrical engineering, or a related technical field, or equivalent practical experience, is listed as a bonus qualification.
- Experience with audio or speech models, audio or signal data, machine learning research workflows, or technical and enterprise customers is preferred.
Benefits
- Unlimited PTO.
- Health, dental, and vision coverage with 100% coverage for most plans.
- FSA and HSA access.
- 401k access.
- Meals twice daily through DoorDash, plus office snacks and beverages.
- Unlimited company-sponsored Barry's classes.
- In-person work in San Francisco.
- The company sponsors international candidates across a range of visa types and supports STEM OPT.
Categories
Forward Deployed
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.