David AI is looking to solve the problem of transforming raw audio into high-signal data for leading AI labs and enterprises using cutting-edge speech and audio models
Requirements
- 5+ years of professional audio ML experience, including DSP and ML audio algorithm development
- 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
- End-to-end ownership of ML pipelines, from proof-of-concept to production deployment
- Ability to assess model quality in the context of user experience and business value
- Experience with audio signal processing both classical and machine learning techniques
Responsibilities
- Research, design, and implement solutions using advanced signal processing algorithms and bleeding 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
- 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
- Build cutting-edge speech and audio models, production inference systems and resilient pipelines
- Develop end-to-end ML pipelines, from proof-of-concept to production deployment
- Deploy ML systems for production inference with cloud technologies
Other
- 5+ years of professional experience
- PhD or Masters in Computer Science or a related field (bonus points)
- Flexible PTO policy
- Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans
- 401k access
