Website iKala
【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】
- Develop in house multilingual NLP models ( Chinese, English, Japanese )
- Tuning and optimize algorithm to handle large scale data ( > 100 GB size )
- Carry out ablation studies and experiments.
- Read latest papers and implement state of the art model.
【Requirements】
- Master Degree or above in engineering or quantitative discipline ( Statistic, Mathematics, Computer Science, Electrical Electronic )
- Good communication and writing skills.
- Experience in common machine learning frameworks ( scikit-learn, transformers, onnx, PyTorch)
- Open to learn new languages (golang, C) and frameworks.
- Comfortable working with Git.
- Full understanding in Transformers and related research ( sparsity, LLM )
【Pluses】
- PhD Degree in engineering or quantitative discipline ( Statistic, Mathematics, Computer Science, Electrical Electronic )
- Published papers in reputable international conferences ( KDD, ACL, WWW, CVPR, ECCV, ICLR, AAAI, NeurIPS )
- Past experiences in contributing to open source projects.
- Experience in GPU speedup tricks ( mix precision, distributed training )
- Worked in Transformer, CLIP or self supervised learning related research or side projects.
- Desire to work in fast pace startup environment.
To apply for this job email your details to una.chen@ikala.tv