AI Research Scientist, R4D, 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.
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
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.
Grow Together
Solve Through Mechanisms
Collaborate Openly
For More Details, Please See The Following Link
Engineering Culture
Mercari R4D is a research and development organization established in December 2017 with the goal of social implementation of advanced technologies.
In the R4D team, We are seeking individuals with a high level of expertise in machine learning and computer vision, who have a strong interest in cutting-edge multimodal foundation models and can work autonomously.
In particular, we welcome candidates who are motivated to engage in research and development of large language models (LLMs) that handle multiple modalities such as images and text, as well as agentic AI systems that leverage these models.
As a member of our Tokyo-based team, you will contribute to developing AI technologies that power the next generation of e-commerce platforms.
Work Responsibilities
Research and develop new technologies related to multimodal foundation models and generative AI, including computer vision and natural language processing (NLP).
Develop prototypes for new algorithms and present research results both internally and externally.
Collaborate with researchers, engineers, and business teams to research and implement advanced technologies for next-generation AI services.
Unique Challenges
Experience a rare position that will allow you to take on the highly valuable challenge of implementing the results of your research into society.
Collaborate with researchers from universities, enabling us as a private company to carry out long-term research projects that are not bound by conventional frameworks.
In particular, you will have the opportunity to dive into state-of-the-art technology in AI field and update your strong skill set in AI, Computer Vision, and AR/VR domain.
QualificationsRequired Experience/Skills
Ph.
D. in Computer Science or a related field, or equivalent professional experience.
Practical experience in computer vision or multimodal learning within the field of machine learning or generative models.
Record of publications in top-tier conferences or journals such as CVPR, ICCV, ECCV, or NeurIPS.
Development experience using general-purpose programming languages such as Python or C++.
Experience using machine learning frameworks such as PyTorch or TensorFlow.
Familiarity with modern development tools and cloud environments, including Git, Docker, AWS, or GCP.
Preferred Experience/Skills
3+ years of professional experience in software or research and development fields.
Experience training Large Language Models (LLMs) or Large Vision-Language Models.
Implementation experience in supervised learning, self-supervised learning, reinforcement learning, or graph learning, including pre-training and fine-tuning techniques.
Experience in building large-scale datasets.
Experience with Retrieval-Augmented Generation (RAG) and large-scale model deployment.
Experience in designing and operating distributed learning environments or training pipelines.
Business-level Japanese proficiency, with smooth reading, writing, and listening skills.
Language
Japanese:
Independent (CEFR - B2) preferred
English:
Independent (CEFR - B2)
For details about CEFR, see here.
Learn More About Mercari Group
Careers site:
Mercan:
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 GroupApplication 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.
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.
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.Please read and acknowledge our Privacy Policy prior to submitting your application.
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