【AI Lab】機器學習工程師 Fresh Grad / Junior Machine Learning Engineer
【What to expect】 Here at iKala, we are developing new algorithm and data pipeline which powers business decision in marketing and in-house analytic platform. You will co-work with teams of working in Machine Learning, Data Acquisition, Data Scientist and Data Analysis to develop or optimize algorithm on large scale multi-modal data. 【What you will be doing】 1. Develop in house multilingual NLP models ( Chinese, English, Japanese ) and multimodal development, including text, images, and multimedia. 2. Tuning and optimize algorithm to handle large scale data ( > 100 GB size ) 3. Carry out ablation studies and experiments. 4. Read and write latest papers and implement state of the art model. 【Requirements】 1. Master Degree or above in engineering or quantitative discipline ( Statistic, Mathematics, Computer Science, Electrical Electronic ) 2. Good communication and writing skills. 3. Experience in common machine learning frameworks ( scikit-learn, transformers, onnx, PyTorch) 4. Open to learn new languages (golang, C, Java) and frameworks. 5. Comfortable working with Git. 6. Full understanding in Transformers and related research ( sparsity, LLM ) 【Pluses】 1. PhD Degree in engineering or quantitative discipline ( Statistic, Mathematics, Computer Science, Electrical Electronic ) 2. Published papers in reputable international conferences ( KDD, ACL, WWW, CVPR, ECCV, ICLR, AAAI, NeurIPS ) 3. Past experiences in contributing to open source projects. 4. Experience in GPU speedup tricks ( mix precision, distributed training ) 5. Worked in Transformer, CLIP or self supervised learning related research or side projects. 6. Training and Pertaining Large Language Models (LLM) and Retrieval-Augmented-Generation (RAG) research. more info>>>https://ikala.ai公司地址:
台北市信義區東興路41號10樓其他:
None-2024-09-17