ByteDance
ByteDance

Research Scientist Graduate (Seed Model - Speech) - 2027 Start (PhD)

RoleMachine Learning
LevelMid Level
LocationSan Jose, Canada, United States
WorkOn-site
TypeRegular
PostedToday
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About the role

About the team
The mission of the Seed Speech team is to enrich interactive and creative processes through the application of multimodal speech technologies. The team focuses on the forefront of research and product development in speech and audio, music, natural language understanding, and multimodal deep learning.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Responsibilities:

  • Develop and scale speech foundation models for understanding and generation tasks.
  • Design training pipelines including data construction, instruction tuning, and model alignment.
  • Improve core capabilities such as speech recognition, synthesis, reasoning, and robustness.
  • Optimize model architectures, training efficiency, and system performance.
  • Explore natural and interactive interfaces for speech-based systems.

Requirements:

Minimum Qualifications:

  • Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
  • Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
  • Experience in speech processing, audio modeling, or related areas.
  • Familiarity with deep learning approaches for speech understanding and generation.

Preferred Qualifications:

  • Strong research track record in relevant areas.
  • Strong problem-solving and collaboration skills.

Required skills

Machine learning

Model evaluation

Data workflows

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