Member of Technical Staff - Quantitative Research
U
UdioAI Music
New York City (Remote possible for exceptional candidates)Full-TimeSenior
Salary$250k - $350k
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Job Details
- Experience
- Ph.D. in statistics, mathematics, physics, or another quantitative discipline, or 5+ years’ industry experience as a quantitative analyst / data scientist
- Required Skills
- Data MiningGCPKubernetesMachine Learning
Requirements
- Ph.D. in statistics, mathematics, physics, or another quantitative discipline.
- 5+ years’ industry experience as a quantitative analyst or data scientist.
- Deep quantitative expertise and experience in research domains.
- Engineering proficiency to translate ideas into clear, production-ready code.
- Strong scientific communication skills for cross-functional collaboration.
- Ability to thrive in greenfield domains and small, flat teams.
- Experience in DSP, MIR, or music production is a plus.
- Familiarity with deep learning frameworks, especially JAX.
- Experience with GCP, Apache Beam/DataFlow, Kubernetes, and TensorFlow Data/TFRecord.
- Experience designing evaluation frameworks for generative models.
Responsibilities
- Design and own evaluation/optimization frameworks for frontier music models.
- Formulate research questions and drive the end-to-end data roadmap.
- Build robust data processing systems integrated into research and product tech stacks.
- Apply findings to pretraining, post-training, and inference systems.
- Conduct experiments spanning data mining, machine learning, and causal inference.
- Define metrics and cultivate a culture of scientific rigor across the company.
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