This position is closed and is no longer accepting applications.

Machine Learning Engineer

Zeals Meguro-ku, Tokyo
  • 💴 ~ ¥11M annually
  • 🏡 Fully remote
  • 🧪 5+ years experience required
  • 💬 No Japanese required
  • 🌏 Apply from abroad
  • 🧳 Relocate to Japan

About Zeals

Zeals Meguro-ku, Tokyo

We are a group of scrappy and hungry bunch from different walks of life, looking to make an actual impact on the way people and businesses communicate through our AI Chatbot technology.

Key benefits

  • Everyone has a voice
  • Phenomenal growth
  • Full flexibility

About the position


  • Research, design, and build machine learning systems for recommendation systems
  • Select appropriate algorithms and fine-tune models for optimal performance
  • Evaluate model performance and suggest improvements where appropriate
  • Integrate machine learning models into production
  • Staying up-to-date with the latest machine learning technologies and methodologies
  • Execute critical phases within the ML lifecycle


  • 5+ years of work experience as a Machine Learning Engineer or Data Scientist
  • A minimum of 2 years in a leadership role.
  • Solid Machine Learning background and deep understanding of certain domain of machine learning techniques, especially in recommendation systems
  • Machine Learning skills:
    • Familiarity with recommendation system and ranking algorithms
    • Knowledge on A/B testing, statistical sampling, and hypothesis testing
  • Development skills:
    • Strong proficiency in Python.
    • Familiarity with frameworks such as Tensorflow and Pytorch.
    • Experience building and deploying machine learning models in a production environment
    • Familiarity with model monitoring techniques and tools
  • Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Machine Learning

Nice to haves

While not specifically required, tell us if you have any of the following.

  • Ph.D. in a quantitative field such as Computer Science, Mathematics, Statistics, or Machine Learning
  • Hands-on working experience in MLOps frameworks
  • Extensive knowledge, and ideally work experience, in recommendation systems, deep learning, and optimization methods and some experience in Natural Language Processing.
  • Familiarity with:
    • LLM
    • generative AI(esp. RAG)
    • customer experience and customer journey in e-commerce
  • Experience in Big Data technologies


Up to 11 million JPY annually.

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