
Senior Optimization Research Specialist
2 weeks ago
As a research engineer, you will be part of an active research team led by experts in the field.
Our team is responsible for conducting research on large-scale optimization for training AI models. This includes designing efficient and effective training algorithms, implementing them, and evaluating their performance on representative AI models such as ResNet, Vision Transformer, and LLAMA.
You will be working on various tasks including writing papers and giving presentations if needed. We are looking for a self-motivated individual who can work independently and collaboratively with team members.
Required Skills and Qualifications:- Minimum master's degree in computer science or closely related disciplines.
- Minimum 3 years of relevant research experience in AI or machine learning or optimization or computer vision.
- Basic knowledge/Proficiency in programming software/languages such as Python and PyTorch is required.
- Demonstrated experience and know-how on large AI models and their training algorithms; machine learning or computer vision.
- At least one top-tier conference or journal papers like NeurIPS, ICML, CVPR, ICCV, TPAMI, JMLR.
- Good analytical, technical and problem-solving skills.
We offer a dynamic and collaborative work environment that fosters growth and development. You will have opportunities to work with experts in the field, share your ideas and learn from others.
Others:Applicants with research publications in optimization and machine learning areas will be advantageous. If you are passionate about AI research and want to contribute to cutting-edge projects, we encourage you to apply.
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