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

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. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a BS 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.
• Demonstrated interest or project experience in relevant areas.

Preferred Qualifications

• Individuals who are completing or have recently completed a MS degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Experience in speech processing, audio modeling, or related areas through internships is preferred.
• Strong problem-solving and collaboration skills.