Research Scientist Intern (Doubao (Seed) - Foundation Model, Speech Understanding) - 2024 Summer (PhD)

Responsibilities

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
Join us.

Team Introduction
The speech team's mission is to empower content understanding, interaction and creation across ByteDance and other products using speech & audio related technologies. We focus on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. We are looking for top talents to work on these exciting technologies, integrate them into various ByteDance products and ultimately bring joy to our global user base!

We are looking for talented individuals to join us for an internship in 2024. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.

Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2024.

Successful candidates must be able to commit to one of the following summer internship cycles below:

1.May 20, 2024 to August 9, 2024
2.May 28, 2024 to August 16, 2024
3.June 10, 2024 to August 30, 2024
4.June 17, 2024 to September 6, 2024
5.June 24, 2024 to September 13, 2024

We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Conduct cutting-edge research and development in speech/audio foundation models。
- Collaborate with cross-functional teams to identify key research areas and contribute to the development of innovative speech/audio models.
- Work with product development teams to integrate research findings into practical applications for ByteDance and other platforms.
- Collaborate on team-driven projects to address complex challenges and enhance the overall effectiveness of the research team.

Qualifications

Minimum Qualifications:
- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Able to commit to working for 12 weeks during Summer 2024.
- Experience in one or more areas of machine learning and deep learning, including but not limited to:
- Automatic Speech Recognition
- Automatic Speech Translation
- Speech/audio self-supervised learning and foundation models
- Speaker recognition and verification
- Speech emotion recognition
- Multimodal foundation models
- Large Language Model pretraining and finetuning

Preferred Qualifications:
- Graduating December 2024 onwards with intent to return to degree-program after the completion of the internship.
- Publications in top-tier ML/DL venues such as NeurIPS, ICLR, ICML, AAAI and speech venues such as ICASSP, ASRU, Inte