Member of Technical Staff - Quantitative Research
Core
Pioneer quantitative research at the intersection of research, engineering, and product to push the frontier of music generation using proprietary datasets.
Role type
Senior quantitative researcher (full-stack scientist)
Builds
Frontier music generation models, data processing systems, and evaluation frameworks
Domain
Music technology, generative AI, quantitative research
Deliverable
production ML models
Required skills
quantitative research, data mining, machine learning, causal inference, survey design, optimization frameworks, production code, scientific communication
Preferred skills
DSP, MIR, music production/composition, deep learning frameworks (JAX), GCP, Apache Beam/DataFlow, Kubernetes, TensorFlow Data/TFRecord, generative model evaluation
Technologies
JAX, GCP, Apache Beam, DataFlow, Kubernetes, TensorFlow, TFRecord
Responsibilities
Design and own evaluation/optimization frameworks for frontier music models; drive product and research roadmap including data mining and experiments; build stable large-scale data processing systems; champion scientific rigor by defining metrics and sharing results
Seniority
Senior, hands-on IC