# Member of Technical Staff - Quantitative Research

Hiring organization: [Udio](https://career.thegoodapps.co/organizations/udio)

Canonical page: https://career.thegoodapps.co/jobs/0ac39696-bcef-499c-ac5b-49a73082834d

Listed on Udio's own careers site. Applications go to them directly.

- Employment type: full time
- Location: New York, NY
- Remote: yes
- Salary: 250000 – 350000 USD per year

## Summary

Udio seeks a quantitative researcher to design evaluation frameworks and drive research initiatives for their music generation AI models, working with proprietary datasets and cross-functional teams. This role suits someone with strong statistical or mathematical training who enjoys autonomy in ill-defined problems and can bridge research, engineering, and product thinking.

_Our summary, not Udio's wording._

## Skills named

Apache Beam, Dataflow, JAX, Kubernetes, Survey Design, TensorFlow

## Required

- Ph.D. in statistics, mathematics, physics, or related quantitative discipline, or 5+ years as a quantitative analyst or data scientist
- Ability to work autonomously in undefined research domains and small teams
- Strong engineering skills to translate research into production-ready code
- Scientific communication ability across technical and non-technical stakeholders

## Nice to have

- Deep knowledge of music, sound science, DSP, or music production
- Familiarity with JAX deep learning framework
- Experience with GCP, Apache Beam, DataFlow, Kubernetes, or TensorFlow Data
- Prior experience designing evaluation frameworks for generative models

Apply on Udio's site: https://job-boards.greenhouse.io/udio/jobs/5081608008