Machine Learning Engineer, Search - Mercari

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。

Machine Learning Engineer, Search – Mercari

• Employment Status:Full-time
• Work Hours:Full Flextime (no core time) 
• Office: Roppongi

For more details, see the Overview of Our Positions section on our Careers site.
https://careers.mercari.com/en/recruitment-selection/#section3 　　

About Mercari

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.
https://careers.mercari.com/en/culture/

Organization/Team Mission

Mercari Engineering Principles  

Mercari Engineering Principles are a shared understanding that serves as the foundation of engineering beliefs and behavior at Mercari. The Engineering Principles are designed to complement the organizational identity (Mercari’s mission, values, and culture) from an engineering viewpoint. 

These principles ultimately help us achieve Mercari’s mission by defining the ideal state we seek to realize in the long term. 

• Passion For The Product
• Grow Together
• Solve Through Mechanisms
• Collaborate Openly

For more details, please see the following link:

• Engineering Culture

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.
See here for more information about our mission and values.
https://careers.mercari.com/en/culture/

Work Responsibilities 

Work on ML architecture and feature engineering that optimizes our search metrics 

Target Teams: Search Ranking, Search Relevance 

• Optimize the search quality to provide the best search and shopping experience on Japan's largest C2C marketplace platform
• Research and implement appropriate ML algorithms, design and develop machine learning applications for Search at Mercari Marketplace
• Keep up-to-date with the latest research and advancements in the field of machine learning, and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, LLM, and so on
• Design engineering infrastructure to support machine learning systems at scale
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Have product sense in making connections between technical success with business success
• Conduct experiments, A/B testing, and evaluations to measure the performance and effectiveness of various ML models.
• Experiment with large-scale data sets to gain insights and identify opportunities for improvement

Unique 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

Qualifications 

• Required Experience/Skills
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of information retrieval including search relevance, ranking and query understanding
• Understanding end-to-end machine learning development process starting from experimentation to deploying ML models in large scale production systems
• Strong analytical and problem-solving skills
• Have hands-on experience in the NLP realm such as tokenization, language modeling, indexing, text classification, etc.
• Preferred Experience/Skills
• Experience implementing semantic search and/or learning to rank in production systems
• Experience working with Search / Recommender systems
• Language 
• English: Independent (CEFR - B2)
• Japanese: Basic (CEFR - A2) Preferred

For details about CEFR, see here.
https://careers.mercari.com/en/language/  　

Learn More About Mercari Group

• Careers site: https://careers.mercari.com/en/   
• Mercan: https://mercan.mercari.com/en/  
• Social media: X / Linkedin
  
  

Recruiting at Mercari

At Mercari Group, we value empathizing with and embodying the mission and values ​​of the Group and each company. To promote the creation of an organization that maximizes the total amount of value exhibited by all members, we would like to understand the experience and skills of each candidate as accurately as possible.

Recruiting cycle at Mercari Group

• Application screening
• Skill assessment: For engineering positions, you will be asked to complete a skill assessment on HackerRank or GitHub. For non-engineering positions, you may be asked to complete an assessment depending on the position. (The timing of the assessment may coincide with the interview process.)
• Interview: The number of interviews may vary depending on the position.
• Reference check: We will ask for online references around the timing of the final interview.
• Offer: Offers will be determined carefully in consideration of the final interview and the reference check.
  　Learn more about our recruiting process here.
  https://careers.mercari.com/en/recruitment-selection/
  
  

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.
https://about.mercari.com/en/inclusion-diversity/ 

Please read and acknowledge our Privacy Policy prior to submitting your application.
https://careers.mercari.com/en/privacy/