Role and Responsibilities
As a forward:thinking company at the forefront of innovation, we seek an individual passionate about pushing the boundaries of AI:
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Conduct cutting:edge research to develop state:of:the:art solutions or propose novel research challenges based on real:world case studies in AI.
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Develop high:quality code with detailed documentation to support reproducible research in local and international AI communities.
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Review state:of:the:art research papers and develop prototype solutions.
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Publish findings in top:tier conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.
Skills and Qualifications
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Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines.
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Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing).
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Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning.
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Hands:on experience in areas such as Generative AI, Foundation Models, Parameter:Efficient Fine:Tuning (PEFT), Data/Model Privacy, or Model Optimization for Multi:Task Learning.
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First:author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI).
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Experience in Linux environments.
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Proficiency in programming languages such as Python, Java, or C++.
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Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc.
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Excellent communication skills, teamwork abilities, and a results:oriented attitude.
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Strong problem:solving and debugging skills.
Desirable Skills:
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Expertise in Image/Video generation, PEFT:LoRA, Diffusion/Autoregressive Models.
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Experience in Knowledge Distillation.
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Experience in computer graphics and rendering for visualization.