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Search/ Machine Learning Engineer

TaipeiLINE TaiwanFull-time

Help LINE Users Explore the World

At LINE, we manage an enormous amount of data from various services and markets. You will play a crucial role in building recommendation, search, and generative applications that provide our users with interesting and useful information, fulfilling their curiosity to understand the world. 

As an engineer, you will face real-world challenges involving large user bases and data. You will tackle dynamic and loosely defined problems, gaining rewarding experience by making a significant impact. Join us if you’re excited!

 

Responsibilities

  • Develop a scalable search platform to host various data and applications within the organization.
  • Develop, deploy, and optimize ML models and pipelines for LINE TODAY applications.
  • Identify opportunities to guide decision-making, taking strong ownership of the end-to-end analytics cycle.
  • Collaborate with cross-functional teams to enhance user experiences.

 

Qualifications

Basic:

  • Bachelor’s or higher degree in Computer Science, Data Science, or a related field.
  • Proficiency in Python programming.
  • Hands-on experience in building search services using full-text search engines, with a focus on enhancing recall and precision.
  • Proficiency in IR, NLP and ML.  Proficiency in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience in model productionalization / MLOps.
  • Strong problem-solving skills and analytical mindset.
  • Excellent communication skills, with the ability to explain complex findings in simple terms.

Preferred:

  • Proficiency in Elasticsearch or OpenSearch.
  • Experience in building and optimizing search applications using embeddings and hybrid search techniques.
  • Experience in building multimodal recommendation or search applications.
  • Experience in big data processing frameworks (e.g., Apache Spark).
  • Experience in developing Generative AI applications.
  • Experience in Java or Kotlin is a plus 

 

Interview Process:

  • Online Assessment
  • The 1st round interview with hiring manager and HR. (On-line)
  • The 2nd round interview with leaders within the department. (On-site)
  • The final interview with head of the depatement. (On-site)

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