Student Researcher - (Seed Model - Vision) - 2027 Start

About the team
The Seed Vision team focuses on foundational models for visual generation, developing multimodal generative models, and carrying out leading research and application development to solve fundamental computer vision challenges in GenAI.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Support research and development of foundation models and systems.
• Experiment with model improvements and evaluation methods.
• Implement algorithms, models, or system components.
• Collaborate with team members on research and engineering tasks.

Minimum Qualifications:

• Individuals who are completing or have recently completed a BS degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Strong coding skills and understanding of data structures and algorithms, proficient in Python or C/C++.
• Experience with machine learning or related areas through coursework, projects, or internships.

Preferred Qualifications:

• Individuals who are completing or have recently completed a MS degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Demonstrated research track record with publications in conferences related to computer vision and machine learning.
• Strong problem-solving and communication skills.

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits.