About Us

Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to Create value in a global marketplace where anyone can buy & sell. From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.

Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.

For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.

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 four values: Go Bold, All for One, Be a Pro and Move Fast. 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 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 to Mercari's culture.

Role Overview

We're looking for a Senior Machine Learning Engineer to build and improve Mercari's recommendation systems, helping users discover items they'll love. You'll own the full ML lifecycle, from experimentation and modeling to deploying and monitoring large-scale production systems on the cloud and Kubernetes. Strong skills in ML frameworks (TensorFlow, PyTorch, scikit-learn), backend engineering, MLOps, and A/B testing are key, along with solid ML and software engineering fundamentals. You'll partner closely with cross-functional teams, so clear communication and a bold, autonomous, fast-moving mindset matter as much as technical depth.

Bold Challenges

We are looking for people who 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.
Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

Requirements

Minimum Requirements

Over 5+ years of professional experience in end-to-end development of large-scale ML systems in production
Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
Deep understanding of machine learning and software engineering fundamentals
Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Preferred skills

Experience developing Recommender systems utilizing large-scale data sets
Basic knowledge of enterprise search systems and related stacks (e.g. ELK)
Functional development and bug fixing skills necessary to improve system performance and reliability
Experience with technology such as Docker and Kubernetes
Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.)
Microservice development and operation experience with Docker and Kubernetes
Utilizing deep learning models/LLMs in production
Experience in publications at top-tier peer-reviewed conferences or journals

Benefits

Employment Status: Full-time

Office Location : Bengaluru

Hybrid Workstyle : 2 days Work From Office

We believe in high performance and professionalism. We work from office for 2 days/week and work from home 3 days/week
To build a strong & highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
We will continue to review and update the policy to address future organizational needs

Senior Software Engineer - Machine learning & Recommendation