Software Engineer - Machine Learning, Trust and Safety
Build and operate large-scale machine learning systems for Mercari marketplace's Trust & Safety team, focused on content moderation, fraud, and financial security. Day to day: analyze large datasets, deploy models to production using ML frameworks, cloud, and Kubernetes, and evaluate impact via A/B testing.
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 5+ years of professional experience in end-to-end development of large-scale ML systems in production
- End-to-end ML delivery from experimentation to model deployment, including backend engineering and MLOps in large-scale production systems
- Experience with ML frameworks (TensorFlow, PyTorch) and libraries (scikit-learn, NumPy, pandas)
- Deep understanding of machine learning and software engineering fundamentals
- Basic knowledge of monitoring, logging, and common production operations
- Communication skills to collaborate with multiple teams and stakeholders
Nice to have
- Experience developing AI-based anomaly detection and content moderation systems
- Functional development and bug-fixing skills to improve system performance and reliability
- Experience with Docker and Kubernetes
- Experience with cloud platforms (AWS, GCP, Microsoft Azure)
- Microservice development and operation experience with Docker and Kubernetes
- Utilizing deep learning models/LLMs in production
- Publications at top-tier peer-reviewed conferences or journals
Full description
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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 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 to Mercari’s culture.
Work Responsibilities
- Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.
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.