David AI Verified
["Artificial Intelligence","Software","Marketing Automation","Sales Automation"]
Applied Audio ML Engineer
San Francisco, California, United StatesOnsiteFull Time$150,000–$260,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
David AI is seeking an Applied ML Engineer to join their Machine Learning team. This role involves building cutting-edge speech and audio models, production inference systems, and resilient pipelines. Responsibilities include researching, designing, and implementing solutions using advanced signal processing and ML models for speech and audio, developing production-grade inference algorithms and pipelines, and architecting systems for resilient inference and evaluations. The ideal candidate has 5+ years of audio ML experience, proficiency in Python and PyTorch, and experience deploying ML systems in the cloud.
### **About our Machine Learning team**
Our Machine Learning 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.
### **About this role**
As an **Applied ML Engineer** at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do.
### **In this role, you will**
* **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.
### **Your background looks like**
* 5+ years of professional audio ML experience, including DSP and ML audio algorithm development.
* End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
* 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.
* Track record of setting ML roadmaps, influencing technical direction, and prioritizing research and infrastructure investments.
* Ability to assess model quality in the context of user experience and business value.
### **Bonus points if you have**
* PhD or Masters in Computer Science or a related field.
* Experience training generative AI models.
* Expertise in audio signal processing both classical and machine learning techniques.
### **Compensation and benefits**
* Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
* Competitive salary and equity package.
* Flexible PTO policy.
* Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
* Paid lunch and dinner in the office, every day through DoorDash.
* 401k access.
Our Machine Learning 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.
### **About this role**
As an **Applied ML Engineer** at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do.
### **In this role, you will**
* **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.
### **Your background looks like**
* 5+ years of professional audio ML experience, including DSP and ML audio algorithm development.
* End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
* 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.
* Track record of setting ML roadmaps, influencing technical direction, and prioritizing research and infrastructure investments.
* Ability to assess model quality in the context of user experience and business value.
### **Bonus points if you have**
* PhD or Masters in Computer Science or a related field.
* Experience training generative AI models.
* Expertise in audio signal processing both classical and machine learning techniques.
### **Compensation and benefits**
* Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
* Competitive salary and equity package.
* Flexible PTO policy.
* Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
* Paid lunch and dinner in the office, every day through DoorDash.
* 401k access.