Computer Vision Engineer -- AIGC

Baidu, Inc.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A global tech company in Singapore is looking for a research and development expert specializing in computer vision technologies. The ideal candidate will perform R&D on vision generative models, apply advanced AIGC technologies, and collaborate across teams to innovate and address business challenges. A master's degree and at least 2 years of relevant experience are required, along with skills in Python and deep learning frameworks. Fluency in Chinese is also needed.

Qualifications

• 2+ years of work experience in computer vision or related fields.
• Proven track record of technical achievements and publications in leading conferences.
• Fluency in Chinese as a working language.

Responsibilities

• Conduct R&D on computer vision technologies, focusing on vision generative models.
• Utilize AIGC technologies to enhance product offerings.
• Collaborate with teams to solve business challenges and innovate.

Skills

Python

Deep learning frameworks (Pytorch, Tensorflow)

Generative models

Problem-solving

Education

Master's degree or above in computer vision, NLP, or relevant field

Job description

- Perform research and development of computer vision technologies, with an emphasis on the training, fine-tuning of vision generative models and large multimodal models

- Apply state-of-the-art AIGC technologies to improve the products of the Baidu's Global Business Unit

- Collaborate with cross-functional teams to solve practical business challenges, ensuring continuous product evolution and maintaining market leadership through innovation

- Summarize and compile technical documents, patents, and papers

- Master's degree or above in computer vision, natural language processing, deep learning, or relevant technical field, with over 2 years of work experience

- Experience with Python or other related language. Experience with deep learning frameworks such as Pytorch or Tensorflow

- Experience with generative models such as Diffusion models, multimodal models, etc

- Experience with using deep learning technologies to solve practical problems, curious about new technologies, eager to tackle challenging problems, and adept at proposing solutions and quickly validating them

- Proven track record of achieving notable technical results is preferred. This includes having first-authored publications in leading conferences (such as CVPR, ICCV, ECCV, NeurIPS, ICLR), achievements in coding competitions (e.g., ACM), or making widely used contributions in open source repositories

-Chinese can be used as a working language