【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 cowork 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 )
2. Tuning and optimize algorithm to handle large scale data ( > 100 GB size )
3. Carry out ablation studies and experiments.
4. Read 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) 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. Desire to work in fast pace startup environment.


More info>>>https://ikala.tv/zh-tw/