ByteDance Seed 2027 Foundation Model Campus Recruitment is Now Open (Internships Included)

The Seed Foundation Model Campus Recruitment for 2027 graduates is now officially open.

We firmly believe that true technological progress stems from continuously seeking to scale new heights. Amid the immense opportunities of the AI era, the Seed team does not stop at model iteration; instead, we dive into core cutting-edge technologies, drive breakthroughs in the next-generation AI paradigm, and constantly explore the boundaries and advance the frontier of intelligence.

Joining now, you will be at the forefront of building cutting-edge AI capabilities and driving the next breakthrough.

Click to view the project page for more information

• New graduates (for undergraduates, Master's and PhD students graduating between September 2026–August 2027)
• Interns (for students graduating in September 2027 or later)

Technical research directions

Foundation models

• Pursue the edge of foundation models' capabilities and efficiency boundaries, and continuously optimize model architecture, training paradigms, and core capabilities.

Visual intelligence

• Focus on building new paradigms for multimodal pre-training, multimodal fusion, unified generation and understanding for visual reasoning, multimodal agents, and other related fields.

Speech intelligence

• Explore unified audio generation and understanding, personalized dialogue, speech agents, music generation, and other related fields.

Machine learning systems

• Focus on key technical issues, including ultra-large-scale training, foundation model reinforcement systems, inference optimization, hardware-software co-design, and compilation acceleration.

LLM applications

• Optimize the usability of key tasks, build memory and personalization systems, and integrate search with tool-calling to comprehensively elevate user experience across ByteDance applications.

Embodied Intelligence

• Explore general-purpose robotic foundation models, data algorithms, and reinforcement learning to continuously improve robots’ perception, decision-making, and execution capabilities in real-world environments.

What you can achieve here

Work on the most challenging frontiers in AI

• Participate in building industry-leading Seed foundation models and GenMedia models, and explore the next generation of AI.

Full support in accessing R&D resources

• With our robust AI infra, you will have access to sufficient computing power, data, and engineering resources to focus on overcoming core technical challenges.

Create real value for the world

• We have competitive advantages in both consumer and enterprise products. Your technical achievements will deliver tangible value to hundreds of millions of users.

Get rewards matching technical contributions

• We offer highly competitive compensation packages. Eligible new graduates and top-performing interns will have  the chance to join an extra incentive program designed for AI talent.

Join us to make industry-leading achievements

Learn more: https://seed.bytedance.com/en/models?view_from=homepage_tab

Employee C

As a new graduate with less than 1 year of work experience, Employee C was deeply involved in the challenging task of building the Seedance 2.0 pre-training architecture, researching effective large-scale scaling algorithms and achieving a breakthrough in this area.

Intern Y

Amid Seed1.8 and Seed2.0 R&D, Intern Y adopted cutting-edge RL algorithms to stably and efficiently integrate multi-dimensional expert capabilities into the unified foundation model, raising the bar of the model's overall performance.

Employee Z

As a new graduate with less than 1 year of work experience, Employee Z was deeply involved in the R&D of the Seed end-to-end simultaneous interpretation model, helped tackle the data cold-start problem during post-training, formed a closed-loop of "Data-Training-Evaluation" to enhance capabilities, and effectively improved the model's performance in translation quality, latency, timbre, and other aspects.

Intern R

During the internship, Intern R conducted in-depth research to explore ways to address high costs in model inference and RL simulation environments. Relevant research results were accepted by top international systems conferences and widely applied in Doubao online services and the Seed foundation model post-training.

Base locations

Beijing, Shanghai, Shenzhen, Hangzhou, Singapore, San Jose, Seattle

How to apply

Click to check out

Mainland China Positions

Non-Mainland China Positions

For any questions, please contact us:

seedcampus@bytedance.com