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Mercari

Software Engineer, Search ML Ops

Remote Tokyo, Japan
Go Java Spark AWS Docker Machine Learning GCP Elasticsearch Terraform Python
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Description

Introduction

Circulate all forms of value to unleash the potential in all people

"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential.For more information about Mercari Group’s mission, see Mercari's Culture Doc.

Equal Opportunity Hiring

Here at Mercari, we work to realize a world in which no one’s potential is limited by their background and everyone has the opportunity to freely create value. We also firmly believe that a mindset of Inclusion & Diversity is essential for us to achieve our mission.

This, of course, extends to our hiring practices as well. Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background. For more details, please read our I&D Statement.

Position Overview

Work Responsibilities

Context: Work on fundamental works related to search such as Elastic Search, data ETL, System and Machine Learning operation and testing

Target Teams: Search ML Ops

  • Support the testing capacity of our system and ML models; Contribute to the improvement on engineering efficiency and offline/online model evaluation process such as AB experiments
  • Engaged in the search and machine learning system architecture design and implementation

Unique and Bold Challenges

  • Develop libraries and frameworks to improve the availability of machine learning/search systems
  • Improve the existing machine learning/search infrastructure and leverage industry-leading best practices to help the AI/search team operate
  • Disseminate the best practices of machine learning/search engine operation, improve the development process, and improve the skills of engineers
  • Develop and improve monitoring and logging systems for the evaluation of machine learning models/search experiments
  • Collaborate with other teams to develop large-scale infrastructure

Required Experience

  • Experience with systems programming languages such as GoLang and/or Java
  • Knowledge of database fundamentals and experience with Big Data systems and concepts (BigQuery, dbt, Apache Spark, etc)
  • Experience with Cloud Providers offerings (GCP or AWS)
  • Experience with data ETL tooling like Apache Beam (DataFlow on GCP)
  • Experience with working in Docker environment

Preferred Experience

  • Experience with full-text search systems like Elasticsearch and/or Solr.
  • Experience with infrastructure management tooling like Terraform
  • Experience with Python
  • Experience with Japanese morphological analyzer tooling
  • Experience with MLOps tools and practices like feature store, continuous training, model serving and model monitoring

Language Requirements

  • English: Independent (CEFR - B2)
  • Japanese: Basic (CEFR - A2) Preferred
    *For details about CEFR, see here

Related Articles

Working Conditions

Employment Status

Full-time

  • Probationary period: First 3 months after joining the company. (During this period your contract conditions will be the same as that of a permanent employee.)

Office

Roppongi

  • Smoking is prohibited within our offices
  • Mercari has introduced a work style policy called “Your Choice.” Each member is free to choose whether they want to work in the office or work fully remote. *Exceptions made for certain kinds of work.

Work Hours

  • Full flextime (no “core time” or “flex time”)
    *Does not apply to all positions

Holidays

  • Two days off per week (as well as national holidays, New Year's break, etc.)
  • Paid leave, congratulatory and bereavement leave, relax days, sick leave

Salary

  • Annual salary paid in 12 monthly installments (including fixed overtime allowance)
  • Based on skills, experience, and abilities
  • Reviewed twice a year

Benefits

  • Complete health and social insurance
  • Incentive program
  • Support systems, including those that benefit the employee’s family members
    *See this page for details.

Support

Media

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Owned Media

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