愛卡拉互動媒體股份有限公司
英語 条件要件
【AI Lab】機器學習工程師 Fresh Grad / Junior Machine Learning Engineer
11/8 更新
フルタイム
初級
英語 条件要件
完全リモート
給与 & 勤務地
待遇面談
（給与条件は常に4万台湾ドル以上）
台北市信義區
条件要件
言語要件
英語
聽/略懂、說/略懂、讀/中等、寫/中等
職務経験
不拘
職務内容
【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
応募者数
1~2人
学歴要件
專科以上
勤務時間
10:00-18:30
休暇制度
週休二日
スキル要件
Machine Learning
Machine Learning
Natural Language Processing
Machine Learning 機器學習 自然語言處理
職種カテゴリ
Data Scientist
AI Engineer
Algorithm Engineer
