Mercari

Software Engineer, Machine Learning Leader - Mercari/HR領域新規事業 (Mercari Hallo)

Remote Tokyo, Japan
Pandas Docker Kubernetes GCP Azure Microservices TensorFlow PyTorch Deep Learning AWS Machine Learning NumPy
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Description

JD in Japanese follows. 英文の後に和文JDをご覧いただけます。


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.


Team’s Mission / Work Responsibilities

 expectations of the role

  • In Mercari Hallo, as an ML Team Leader in the new business area of HR/Spot Work (referred to as the Work business), you will be responsible for making strategies. You will coordinate across groups to establish PoC (Proof of Concept) and ML team, delivering features that delight Mercari Hallo customers.

(Learn more about Mercari’s mission and values here.)

Specific work responsibilities include the following: 

  • Making ML strategies for the Work business
  • Establishing the Work ML team
  • Collaborating with the Data team within Work and other ML teams across the Mercari group
  • Leading the process from PoC to productization in alignment with business strategies

Unique and Bold Challenges

  • As a leader, establishing the entire ML team for the Work business from scratch
  • Developing unprecedented features in the HR/Spot Work domain
  • Collaborating with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that enhance user engagement

Required Qualifications

  • Shared belief in the mission and values of Mercari Group and its various companies
  • Proven skills and experience as a team leader
  • Experience in strategizing for ML organizations,  managing and establishing ML organizations
  • Demonstrated experience in developing and delivering end-to-end machine learning solutions from experimentation to model deployment, including backend engineering and MLOps, in large-scale production systems
  • Proficiency in common machine learning frameworks (such as TensorFlow, PyTorch) and libraries (such as scikit-learn, NumPy, pandas)
  • Deep understanding of the fundamentals of machine learning and software engineering
  • Strong analytical and problem-solving skills
  • Basic knowledge and skills in monitoring systems, logging, and general operations
  • Excellent communication skills for executing projects while collaborating with multiple teams and stakeholders
  • Strong mindset towards product engineering


Preferred Qualifications

  • Experience developing ML systems using large-scale datasets
  • Skills in feature development and bug fixing to improve system performance and reliability
  • Experience with container technologies such as Docker and Kubernetes
  • Experience with cloud platforms such as AWS, GCP, or Microsoft Azure
  • Operational experience with Docker, Kubernetes, and developing microservices
  • Experience with using deep learning models in production environments

Language Requirements

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

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

Corporate Sites


Owned Media

はじめに

あらゆる価値を循環させ、あらゆる人の可能性を広げる

「地球資源が限られているなか、より豊かな社会をつくるために何ができるか」。2013年、創業者の山田進太郎が世界一周の旅で抱いた課題意識から、フリマアプリ「メルカリ」は生まれました。私たちは、物理的なモノやお金に限らずあらゆる価値を循環させることで、誰もがやりたいことを実現し、人や社会に貢献するための選択肢を増やすことができると信じています。

テクノロジーの力で世界中の人々をつなぎ、あらゆる人の可能性が発揮される世界を実現していきます。メルカリグループの目指すべき方針についてはMercari Culture Docをご覧ください。

選考における機会の平等

メルカリでは、バックグラウンドによって個人の可能性が決めつけられることなく、自由に価値を生みだす機会を手にできる社会の実現を目指しています。そしてメルカリがミッションを実現するために「Inclusion & Diversity」という考え方は不可欠な存在だと考えています。

採用活動においても、メルカリのミッション・バリューに共感する、様々なバックグラウンドの方にジョインしていただけるよう、年齢、性別、性的指向、人種、宗教、身体能力、その他記号に基づくあらゆる差別をなくすことを約束します。

詳しくはI&D statementをご覧ください。


募集要項


チームのミッション / 業務内容

チームのミッション・求められる役割

  • Mercari Halloにおいて、HR/スポットワークの新しいビジネス領域(以下、Work事業)でMLチームリーダーとして戦略を構築します。グループを横断してPoC(概念実証)やML開発体制を整え、Mercari Halloのお客さまに喜ばれる機能を提供します。

※メルカリのミッション・バリューについての詳細はこちらをご覧ください。

具体的な業務内容は下記のとおりです。 

  • Work事業におけるML戦略の構築
  • Work事業のMLチーム立ち上げ
  • Work事業内のDataチームおよびメルカリグループ内のMLチームとの連携
  • 事業戦略とあわせて、PoCから製品化までのリード


ユニークなチャレンジ

  • リーダーとして、Work事業のゼロからのML全般の立ち上げ
  • HR/スポットワーク領域において前例のない機能の開発
  • クロスファンクショナルチームやプロダクトのステークホルダーと連携しながら、要件の集約、ソリューションの設計、そしてお客さまのエンゲージメント向上をもたらす機能の実装


必須条件

  • メルカリグループおよび各カンパニーのミッションとバリューに共感していただける方
  • チームリーダーとしてのスキルと経験
  • ML組織の戦略策定経験およびML組織の管理、立ち上げ経験
  • 実験からモデルのデプロイ(バックエンドエンジニアリングやMLOpsを含む)まで、エンドツーエンドの機械学習ソリューションを大規模な本番システムで開発・デリバリーを成し遂げた経験
  • 一般的な機械学習フレームワーク(TensorFlow、PyTorch等)とライブラリ(scikit-learn、 NumPy、pandas等)の使用経験
  • 機械学習とソフトウェアエンジニアリングの基礎に対する深い理解
  • 強い分析力 / 問題解決能力
  • モニタリングシステム、ロギングや一般的な運用に関する基礎知識とスキル
  • 複数のチームやステークホルダーと連携しながらプロジェクトを遂行するコミュニケーション能力
  • プロダクトエンジニアリングに対する強固なマインド

歓迎条件

  • 大規模データセットを使用してMLシステムを開発した経験
  • システムパフォーマンスと信頼性の向上に必要な機能開発およびバグ修正のスキル
  • Docker、Kubernetes等のコンテナ技術の使用経験
  • AWS、GCP、Microsoft Azure等のクラウドプラットフォームの使用経験
  • Docker、Kubernetes等の運用経験およびマイクロサービスの開発経験
  • 本番環境でのディープラーニングモデルの使用経験

語学力

  • 英語:Independent (CEFR - B2) 必須
  • 日本語:Independent (CEFR - B2) 必須
    ※ CEFRの詳細については、こちらをご覧ください

関連記事

雇用条件

雇用形態

正社員

  • 試用期間:入社後3ヶ月(本採用と同条件) 


オフィス

六本木

  • 受動喫煙対策: 屋内全面禁煙
  • メルカリには「YOUR CHOICE」というワークスタイルに関する制度があります。オフィス出社をすることも、フルリモートワークを選択することも自由に選択することができます。※一部職種を除く

勤務時間

  • フレックスタイム制(コアタイムなし・フレキシブルタイムなし)
    ※一部職種を除くため、ご応募の際にお問合せください。

休日・休暇

  • 完全週休2日制(祝祭日、年末年始 等)
  • 有給休暇、慶弔休暇、リラックス休暇、Sick Leave

給与

  • 月給制(固定残業代含む)
  • スキル・経験・能力に応じて決定いたします
  • 毎年2回見直し 

ベネフィット 

  • 各種社会保険完備
  • インセンティブ制度
  • 社員の家族を含めた支援制度
    ※ 詳しくはこちらのページをご覧ください。

サポート 

  • リロケーションサポート
  • 言語学習のサポート
  • 翻訳と通訳のサポート

  ※ 詳しくはこちらのページをご覧ください。


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