Research Scientist in Foundation Model, Speech Understanding - 2024 Start (PhD)

Responsibilities

Founded in 2023, ByteDance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global research and foster both technological and social progress.
With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It boasts a robust international presence with labs and research facilities in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. This model supports over 50 downstream business services including Doubao, Coze, and Dreamina, which are available to enterprise customers via the Volcano Engine. Currently, the Doubao App is the most used AIGC application in the China market.

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 Intro
The Speech team's mission is to empower content interaction and creation using speech & audio related technologies. The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. The team builds AI training and inference systems based on GPUs and advances the state-of-the-art of AI system technologies to accelerate large audio/music language models. The team is also responsible for the development of the complete engineering cycle of large models, including data preparing/processing, model training/evaluation/deployment, etc.

We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Successful candidates must be able to commit to one of the following start dates below:
1. January 15, 2024
2. February 5, 2024
3. March 4, 2024
4. May 20, 2024
5. June 17, 2024
6. July 15, 2024
7. August 12, 2024
8.September 3, 2024

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally.

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
1. Master's or PhD in computer science, mathematics, engineering or related field
2. 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
- Publications in top-tier ML/DL venues such as NeurIPS, ICLR, ICML, AAAI and speech venues such as ICASSP, ASRU, Interspeech
- Deep understanding of Large Language models
- Familiar with distributed computing and large scale model training
- Familiar with deep learning frameworks such as Tensorflow and Pytorch.
- Familiar with engineering principles and best practices.
- Highly competent in algorithms and programming; Strong coding skills in C/C++ and Python.
- Ability to work collaboratively in a fast-paced, multi-functional environments

ByteDance is committed to creating an inclusive