Software Engineer, Search ML Ops

Salary not provided

SparkGCPAWSDockerElasticSearchSolrPythonJava

Minimum year of experience: 2

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

Conversation between Machine Learning Engineers. Meet @ lain21 and @ chica #WeMakeMercari

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.