Senior Machine Learning Engineer

Mercari India

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. 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, and experience with anomaly detection, content moderation, or deep learning/LLMs in production is a big plus. 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.
• 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

• 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

Apply now

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