- Develop and implement state-of-the-art machine learning models to optimize retrieval and relevance modules, and consistently refine them.
- Collaborate closely with cross-functional teams to align machine learning efforts with overarching business goals.
- Apply NLP and deep learning related algorithms in multi-language scenarios, such as but not limited to: information retrieval, text classification, pre-training models, multimodal embedding, etc. .
- Explore cutting-edge technologies related to search/recommendation algorithms and introduce them into existing systems to improve ads business indicators
- Bachelor degree or above in Computer Science, Machine Learning, Statistics, or a related field
- Be familiar with at least one of the following programming languages, C++/golang/Python, has good knowledge of data structure and algorithm
- Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills
- Effective team player and has good communication skills
- Be familiar with big data processing tools, have experience with one or more of the following tools: Hadoop, Spark, Hive and Flink a plus
- Be familiar with one or more machine learning fields including but not limited to NLP, CV, search, recommendation, advertising, etc. is a plus
- Deep understanding in machine learning and deep learning theory, publications in machine learning and data mining or related conferences is a bonus
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Machine Learning Engineer - Malaysia - Shopee
Description
Job Description:
As a Machine Learning Engineer within our Paid Ads team, you will tackle challenging problems related to retrieval in the advertising domain using cutting-edge models. Your primary focus will be on algorithm modeling to optimize retrieval and relevance modules within our large-scale advertising platform, with a continuous drive to enhance ads performance.