Engineering Manager, Machine Learning - Mercari

Remote - Minato City, Tokyo, Japan

Applications have closed


This position requires English language ability. JD is available in English only.  本ポジションは日本語JDの用意がありません。


Introduction


Our Mission

Mercari is a Japan-based company with the mission of “create value in a global marketplace where anyone can buy & sell.” Having continuously worked toward this goal since our founding in 2013, we are now transforming from a startup into a global player. While this transformation brings its own specific set of challenges, we believe that solving them one after another will allow us to fully achieve our mission. Are you interested in working together to take on these exciting challenges?


Our Culture

To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our three values: Go Bold, All for One, and Be a Pro. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization.

We invite you to read the “Mercari Culture Doc,” which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear Mercari’s culture.


Position Overview


What You'll Do

  • Engineering managers are committed to creating organizational structures and solving organizational issues, creating a place where engineers can play more active roles.
  • Mercari's engineering organization has members from a variety of backgrounds. By managing teams with diversified experiences, nationalities, cultures, etc., they are responsible for drawing out the potential of teams and individuals and producing greater results.
  • The main components of the role are as follows:
    • Recruiting, training, goal setting, evaluation, and providing feedback to engineers
    • Maximizing the results of engineer members and supporting career their growth
    • Assigning engineers to projects and supporting the communication needed to carry them out
    • Problem solving for the engineering organization as well as proposing and executing growth strategies
    • Planning and implementation of in-house events to deepen understanding of expertise and organization
  • Especially, as an engineering manager in the AI/ML teams, you are expected to maximize Mercari’s output through machine learning. The AI/ML teams use technology like artificial intelligence, machine learning, and deep learning to improve Mercari’s UX, with an emphasis on image recognition, NLP, and algorithms for recommendations.


Unique Challenges

  • We are looking for people that are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.


Minimum Requirements

  • Shared understanding and belief in Mercari Group mission and values 
  • Professional knowledge of AI/ML with specialization in at least one of the following:
    • Natural language processing
    • Recommendation
    • Search
  • Hands-on experience with ML modeling or development experience with ML systems
  • Experience as a manager for engineers or researchers
  • Developing and operating large-scale products
  • Project management experience for machine learning projects
  • Coordinating with multiple stakeholders


Preferred Requirements

  • Making technical decisions for a team as a tech lead
  • Designing the architecture of an entire system
  • Managing a multicultural team
  • Experience writing articles/theses in AI/ML fields
  • Experience creating ML models using large-scale data
  • Experience training AI/ML engineers and/or researchers
  • Hiring AI/ML engineers (application screening, interviewing, direct recruiting, event hosting, etc.)
  • Knowledge of and experience with databases (RDBMS/NoSQL), networks, linux, monitoring systems, logging, operations, and SLO/SLA
  • Development and operation using microservices architecture
  • Cloud development experience (preferably GCP or AWS)
  • OSS contribution experience / familiar with OSS community


Screening Criteria

*Check here for more details


Language Requirements

  • English: Independent (CEFR - B2)
  • Japanese: Independent (CEFR - B2) preferred

 *Click here for more information about CEFR


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)
    *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 employee family members
  • Language learning support
  • Translation/interpretation support
    *See this page for details.


Support


Media


Corporate Sites


Owned Media

Tags: AWS Deep Learning Engineering GCP Linux Machine Learning Microservices ML models NLP NoSQL RDBMS UX

Perks/benefits: Career development Health care Relocation support Startup environment Team events

Regions: Remote/Anywhere Asia/Pacific
Country: Japan
Job stats:  14  0  0

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