Student Researcher Intern (Edge Research Project for General Intelligence)

3 Months ago • Upto 1 Years • Research Development

Job Summary

Job Description

This internship focuses on the Seed Edge Research Initiative, developing general intelligence models with human-like learning, interaction, and tool-use abilities. Responsibilities include exploring novel intrinsic reward mechanisms for autonomous learning, developing long-term memory mechanisms for efficient reasoning, advancing multimodal perception from massive data, and studying tool use and visually grounded action capabilities. The role encourages self-initiated research and involves collaboration with a team on cutting-edge AI challenges. A research presentation is part of the application process. The internship is based in San Jose.
Must have:
  • PhD in relevant field (graduating 2027 or later)
  • Research experience in LLMs, computer vision, or machine learning
  • Strong problem-solving and communication skills
  • Proficient in C/C++ or Python
Good to have:
  • Publications at top-tier conferences
  • Experience with multimodal learning or foundation models
  • ACM/ICPC or similar competition recognition
Perks:
  • Health insurance
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays
  • Paid sick time

Job Details

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. Currently pursuing a PhD degree, graduating in 2027 or later, in Computer Science, Artificial Intelligence, Automation, Mathematics, Physics, or 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
About Doubao (Seed)

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.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).

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

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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About The Company

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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