Vision Foundation Scientist - Seed Models (PhD)

ByteDance

San Jose (CA)

On-site

USD 254,000 - 480,000

Full time

3 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Parental Leave
Disability Coverage
Wellbeing Benefits
Paid Holidays
PTO

Job summary

ByteDance Seed team in San Jose is seeking a Research Scientist Graduate focused on Vision to develop and scale vision foundation models for image and video. You will design data pipelines, pre-training and post-training strategies, and push forward perception and multimodal understanding capabilities.

The role emphasizes strong coding skills in C/C++ or Python, deep learning knowledge, and experience in computer vision or multimodal learning.

Qualifications

  • PhD candidates or recent PhDs in relevant fields.
  • Strong coding skills in C/C++ or Python and data structures.
  • Experience with vision or multimodal model training.
  • Solid understanding of deep learning architectures and training methods.

Responsibilities

  • Develop and scale vision foundation models across image and video modalities.
  • Design data pipelines, pre-training strategies, and post-training methods for vision tasks.
  • Improve core capabilities such as perception, reasoning, and multimodal understanding.
  • Optimize model architectures, training efficiency, and evaluation frameworks.
  • Explore real-world applications of vision models in multimodal systems.

Skills

C/C++
Python
Computer Vision
Multimodal Learning
Deep Learning

Education

PhD in CS/EE/ECE/Physics/Math

Job description

ByteDance Seed team in San Jose is seeking a Research Scientist Graduate focused on Vision to develop and scale vision foundation models for image and video. You will design data pipelines, pre-training and post-training strategies, and push forward perception and multimodal understanding capabilities.

The role emphasizes strong coding skills in C/C++ or Python, deep learning knowledge, and experience in computer vision or multimodal learning.

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