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Software Engineer, Ml Ops [Merpay]

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Software Engineer, Ml Ops [Merpay]
Company:

Mercari


Place:

Bali


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Software Engineer, Ml Ops [Merpay]

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Details of the offer

Introduction

Our Mission

Building trust for a seamless society. We challenge ourselves daily to achieve this mission. Merpay's business started as a payment service, but that was just our first step towards achieving the mission we envision. We want to create a society where anyone can realize their dreams through a new ecosystem centered not only on this payment service, but on credit. Let's work together to update society's deinition of "payment," "credit," and society itself.

Our Culture

Mercari’s culture has been central to the company since our founding, with the three core values of Go Bold, All for One, and Be a Pro. In addition, the “Trust & Openness” value was introduced to embody our culture of mutual trust, where information remains transparent and rules are kept to a minimum. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and is evidenced throughout our organization.

Position Overview

Work Responsibilities

As a member of the ML Platform Team, you will develop, operate, and improve the productivity and reliability of systems that use machine learning, such as credit scoring, fraud detection, and our recommendation engine. The ML Platform Team is an engineering organization which works together with the Machine Learning Team—an organization primarily responsible for defining business challenges and constructing/implementing applicable models—to build the mechanisms which support the running of those models in production, as well as create the infrastructure to facilitate a fast-paced, safe cycle of machine learning. The following describes the responsibilities of a software engineer on the ML Platform Team, as well as the environment and organization in which they work:

Job Description
The following tasks related to machine learning:
Designing/developing data pipelines

Automating workflows

Building CI/CD

Building an environment for data processing and tuning processing performance

Developing API and tools

Streamlining operations

Improving the reliability and quality of the machine learning system

Constructing the platform to achieve more efficient modeling

Tools Used/Dev Environment
Programming languages: Python3, Java, Go

Machine learning/statistical modeling libraries: scikit-learn, TensorFlow etc.

Infrastructure: Google Cloud Platform (Cloud Composer, Cloud PubSub, Cloud Dataflow, AI Platform etc.)

Configuration management tools: Terraform

Analysis platform: BigQuery

Other: Docker, Kubernetes, Circle CI, GitHub, Slack, JIRA, Spinnaker, DataDog, PagerDuty

Development Method: Agile (Scrum, Kanban, etc.)

Dev Organizations
As part of the wider Data & Machine Learning Team, you will work on development alongside members with a broad range of expertise from the following organizations.

Teams
Data & Machine Learning Platform

Machine Learning (Credit)

Machine Learning (Anti-Fraud)

Data Management

Bold Challenges

Create a new finance platform within the ecosystem of the Mercari marketplace app, boasting over 18M monthly users.

Develop high-quality machine learning products that incorporate not only high-precision functionality, but also the UX and anti-fraud perspectives which society expects from the finance industry.

Opportunity to construct machine learning systems which handle massive data generated by Mercari Group’s services.

Required Experience

A shared belief in Merpay’s mission and values

Three or more years of experience in either Python, Java, or Go development

Basic knowledge of and two or more years of practical experience in RDBMS and SQL

Broad experience working on products that use machine learning models (experience in everything from technology selection to operations to quality reviews)

The programming skills and ability to add features necessary to improve the system’s performance and reliability to both applications and middleware

Preferred Experience

Experience working at a financial institution or Fintech company

Experience analyzing data or developing in cloud-based environments using AWS and GCP

Experience developing systems utilizing container technologies such as Docker and Kubernetes

Experience in large scale data analysis using distributed processing technology

Experience developing, operating, and improving machine learning models

Experience developing software based on a microservice architecture

Experience in development using DWH like BigQuery, Redshift, or Snowflake

Experience applying for a patent

Experience receiving awards at competitions such as Kaggle

Experience in team building/leading a team

Screening Criteria

Desire to use their engineering abilities to push the finance industry forward

Possesses excellent communications skills which can push organizations and projects forward

Able to collect information independently and identify the essence of issues to solve problems through engineering

Thinks independently, acts independently, and leads operations with All for One mentality for the sake of the team and while holding on to professional mindset

*Checkherefor more details

Technical Assessment Criteria

Documentation skills

Testing

Ability to code (efficiency, readability, maintainability)

Language Requirements

English: Business level (preferred)

Japanese: Business level (preferred)

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Working Conditions

Employment Status

Full-timeProbationary 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 Location

Roppongi
Work Hours

Scheduled working hours: 10 AM – 7 PM

Currently, due to COVID-19 pandemic, we have introduced a full-flex system without core time to increase the choice of working hours and allow for more flexible working styles.*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 installments (monthly)

Based on skills, experience, and abilities

Reviewed twice a year

Benefits

Complete health and social insurance

Incentive program

Support systems, including those that benefit employee family members

Language learning support

Translation/interpretationsupport
*See this page for details.

Media

Corporate Sites

Mercari, Inc.

Mercari US

Owned Media

Mercari Careers

Mercari Engineering Portal

Mercan - Introduces the people that make Mercari

Mercari US Careers

Mercari US Blog


Source: Myworkdayjobs

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