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