Multimodal Vision Foundation Models Research Scientist

ByteDance; San Jose (CA); On-site; USD 244,800 - 450,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Paid holidays and personal time

Job summary

ByteDance in San Jose seeks a PhD candidate for the Seed Vision team focused on visual generation models. Responsibilities include developing and scaling foundation models, optimizing architectures, and exploring real-world applications.

Ideal candidates have excellent coding skills in C/C++ or Python, experience in computer vision or multimodal learning, and a strong understanding of deep learning methodologies. The position offers robust benefits including healthcare, a 401(k) plan, and generous paid time off.

Qualifications

• PhD candidate with expected graduation in 2027.
• Excellent coding and algorithm skills.
• Experience with large-scale model training.

Responsibilities

• Develop and scale vision foundation models.
• Design data pipelines and pre-training strategies.
• Optimize model architectures and training efficiency.
• Explore real-world applications of vision models.

Skills

C/C++ or Python

Computer vision

Deep learning

Multimodal learning

Education

Currently pursuing a PhD in computer science, mathematics, engineering, or a related field

Job description

ByteDance in San Jose seeks a PhD candidate for the Seed Vision team focused on visual generation models. Responsibilities include developing and scaling foundation models, optimizing architectures, and exploring real-world applications.

Ideal candidates have excellent coding skills in C/C++ or Python, experience in computer vision or multimodal learning, and a strong understanding of deep learning methodologies. The position offers robust benefits including healthcare, a 401(k) plan, and generous paid time off.