This position is closed and is no longer accepting applications.

Software Engineer, Machine Learning & Search (Ads)

Mercari Minato-ku, Tokyo
  • 💴 No salary range given
  • 🏡 Partially remote
  • 🧪 Minimum years of experience unspecified
  • 💬 Fluent Japanese
  • 🌏 Apply from abroad
  • 🧳 Relocate to Japan

About Mercari

Mercari Minato-ku, Tokyo

Mercari is a marketplace app that makes it easy for people to safely sell and ship their things. Having been downloaded over 100 million times, it is now among the largest peer-to-peer selling platforms globally.

Key benefits

  • Full flextime
  • Outside work encouraged
  • Employee stock ownership program

About the position

Unique and Bold Challenges

  • Launching advertising solutions on media with over 20 million MAUs
    • Mercari is providing advertising solutions, but is still in its early stages. It is expected to make a significant impact on the Japanese advertising market in the future.
  • Challenging revolutionary advertising measures that go beyond conventional frameworks
    • Advertising solutions are offered on many platforms, and there are numerous success stories. We can leverage the benefits of existing solutions to provide even better ones.

Responsibilities

  • Improving ad performance through the design, development, and maintenance of Elasticsearch
  • Enhancing ad matching and search result relevance through the analysis and tokenization of queries using NLP
  • Collaborating with data scientists and other engineers to enhance the integration and performance of Elasticsearch

Requirements

  • Development and operational experience with Elasticsearch
  • Knowledge and experience in search algorithms, relevance tuning, query optimization
  • Expertise in natural language processing (NLP) technologies and tools
  • Experience in handling data index, ETL processes, and large data sets
  • Japanese: Proficient (CEFR - C1)

Nice to haves

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

  • Experience in advertising domain or advertising platform
  • Experience with Elasticsearch, Solr or other OSS search engines and analytical tools
  • Knowledge of machine learning and data science related to search and personalization
  • Experience in monitoring and log analysis (e.g., Grafana, Prometheus, ELK stack)

Meet Mercari's Developers

Jieqiong shares her experience of joining Mercari and working as a tech lead. She explains their engineering culture and provides tips for potential applicants.

Read her story...

Ryan Ginstrom describes his unexpected career turn towards being an engineering manager, and the unique freedoms he's found at Mercari.

Read his story...

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