Responsibilities
To further support long-horizon and high-impact AI research, we are launching the Seed Edge Research Initiative. This initiative focuses on developing general intelligence models — models that possess human-like learning abilities, interaction capabilities, and tool-use proficiency. We encourage bold, long-term research with inherent uncertainty and cross-modal, interdisciplinary collaboration. Seed Edge provides a highly flexible research environment and long-cycle evaluation, enabling researchers to pursue transformative AI challenges.
What You Will Work On
By joining the Seed Edge initiative, you will collaborate with us to explore:
1. Explore novel intrinsic reward mechanisms to enable models to engage in autonomous learning and continual self-improvement;
2. Explore the development of long-term memory mechanisms to support the next generation of efficient reasoning models and long-sequence reasoning and modeling.;
3. Advance the boundaries of multimodal perception by developing scalable methods to extract knowledge from massive multimodal data with ultra-low signal-to-noise ratios, while building a solid foundation for multimodal fusion and unified modeling;
4. Study how models can use tools and develop visually grounded action capabilities, including new approaches to foundation modeling for full-modality agents and interactive learning in complex environments.
We also welcome self-initiated research ideas — bring your vision and curiosity to help shape the future of general intelligence.
As part of the application process, we encourage you to prepare a research presentation. We’re looking forward to deep technical conversations with you.
Qualifications
Minimum Qualifications
1. Expected to graduate with a PhD degree in 2026, in Computer Science, Artificial Intelligence, Automation, Mathematics, Physics, or other related fields;
2. Solid research experience in one or more of the following areas: LLMs, computer vision, multimodal learning, AIGC (AI-Generated Content), or machine learning;
3. Strong curiosity and problem-solving skills, with the ability to independently explore solutions;
4. Strong communication and collaboration skills, with a deep passion for advancing fundamental technologies. Self-driven and open-minded in exploring unconventional ideas through iterative experimentation, aiming to push forward the boundaries of AI research.
Preferred Qualifications
1. Solid understanding of core machine learning principles and algorithmic thinking; prior publications at top-tier conferences/journals (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH, SIGGRAPH Asia, etc.);
2. Proficient in C/C++ or Python, with strong programming skills. Recognition in competitions such as ACM/ICPC, NOI/IOI, TopCoder, or Kaggle is highly valued.
3. Experience leading impactful projects in any of the following domains: multimodal learning, LLMs, foundation models, world models, reinforcement learning, or rendering & generative models.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $194000 - $355000 annually.
Compensation may vary outside of this range depending on a number of factors, including 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.

Please refer the Job description for details