### **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.
Visa sponsorship is offered for this role.
