Lead Research Scientist – Foundation Model – Music Intelligence
| Company | ByteDance |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Masters or PhD in computer science, mathematics, engineering, or related field
- Experience in one or more areas of deep learning and music intelligence, including but not limited to: Deep generative models, Representation learning, Sequence classification, Music information retrieval and source separation, Speech recognition and synthesis, Natural language processing
Responsibilities
- Conduct cutting-edge machine learning research and development in music understanding and generation
- Transfer advanced technologies to ByteDance products
- Explore new products with music intelligence technology at its core
Preferred Qualifications
- Publications in top-tier venues such as NeurIPS, ICLR, ICML, ICASSP, INTERSPEECH, ACL, EMNLP, ISMIR
- Familiar with deep learning frameworks such as Tensorflow and PyTorch
- Highly competent in algorithms and programming; Strong coding skills in Python and C/C++
- Familiar with large-scale training and data processing
- Familiar with engineering principles and best practices
- Ability to work collaboratively in a fast-paced, multi-functional environment