Research Scientist- Foundation Model, Vision and Language

Research Scientist
- Foundation Model, Vision and Language

Location:

Seattle

Team:

Employment Type:

Regular

Job Code:

A73254

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. In the Chinese market, Doubao models power over 50 Byte Dance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Creation is the core of Byte Dance'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 Byte Dance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

Welcome to the Doubao-Vision team, where we spearhead multi-modality foundation models on visual understanding and visual generation. Our mission is to solve the visual intelligence problem for AI. We conduct cutting-edge research on areas like vision and language, large vision models, and generative foundation models. The team is a mix of experienced research scientists and engineers, aiming to advance the research boundaries in foundation models and apply our technologies to our rich application scenarios, whereas a feedback loop is created to help further improve our foundation technologies.

Join us in shaping the future of AI technologies and revolutionizing our product experience for global users.

• Conduct cutting-edge research and development in computer vision and natural language processing, especially in the areas of multi-modality, vision and language, etc.
• Enhance multimodal understanding and reasoning (images and videos etc), throughout the entire development process, encompassing data acquisition, model evaluation, pre-training, SFT, reward modeling, and reinforcement learning, to bolster overall performance.
• Synthesize large-scale, high-quality multi-modal data through methods such as rewriting, augmentation, and generation to improve the abilities of foundation models in various stages (pretraining, SFT, RLHF).
• Investigate and implement robust evaluation methodologies to assess model performance at various stages (ranging from covering diverse multimodal skills to improving user preference alignment), unravel the underlying mechanisms and sources of their abilities, and utilize this understanding to drive model improvements.

• Research and engineering experience in one or more areas of computer vision and natural language processing, including but not limited to:
  Experience in multi-modal understanding, vision and language, such as multimodal pre-training, visual instruction tuning, alignment learning, and other related topics.
• Work with very large-scale datasets, and build very large-scale datasets to scale up foundation models.
• Experience with language models and apply them in various downstream tasks.
• Highly competent in algorithms and programming; strong coding skills in Python and popular deep learning frameworks.
• Work and collaborate well with team members.
• Ability to work independently; strong communication skills.

• Candidates with publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, EMNLP, ACL, NAACL, etc.
• Candidates with impactful open-source projects on Git Hub and a demonstrated engineering ability to quickly solve new challenges.

The base salary range for this position in the selected city is $177688 - $341734 annually.

Compensation may vary outside of this range depending on a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

• Qualified applicants with arrest or conviction records…