Research Scientist Gradudate – Foundation Model Speech & Audio Generation
| Company | ByteDance |
|---|---|
| Location | Seattle, WA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- PhD graduate with a background in computer science, machine learning, or similar fields.
- Good knowledge of theoretical and empirical research in addressing research problems
- Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures
- Experience in both neural and non-neural, classical machine learning models and algorithms
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Responsibilities
- Contribute cutting-edge research to ByteDance product evolution (e.g., TikTok, Douyin, CapCut) to impact billions of users worldwide.
- Work on advanced science and technology in audio processing and generation (e.g., Speech Synthesis, Voice Conversion, Audio Codec Learning, Audio Language Modeling, etc.)
- Research, model, design, develop and evaluate novel machine learning models and algorithms.
- Collaborate with globally based researchers and engineering teams in developing machine learning models and algorithms.
Preferred Qualifications
- Good presentation and communication skills
- Research experience in one or more of the following fields: speech synthesis, audio generation, large language model, computer vision, generative models
- Strong first-author publications record in top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.)
- Proficient in C / C + +, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.
- Internship experience in an AI research organization