Senior Machine Learning Engineer - Trust & Safety Domain
First seen by Alion on Oct 24, 2026. Mercari scores A on the Alion truth index.
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."
Role Overview :
We're looking for a Senior Machine Learning Engineer to build and improve Mercari's Trust & Safety systems, making the marketplace safer and more secure for users through content moderation, fraud detection, and financial security solutions.
What you will do :
- 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 trust and Safety algorithms.
- Utilize machine learning frameworks and libraries to deploy scalable and efficient content moderation, fraud and financial security 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 the trust and safety capabilities.
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 AI-based anomaly detection and content moderation systems is preferred.
- 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 : Bengaluru.
- Hybrid workstyle : 2 Days Work From Office.
Skills
Machine Learning, MLOps, Tensorflow, PyTorch, Scikit-Learn, Deep Learning, LLM, Numpy, Pandas