Senior Software Engineer - Machine Learning, Trust and Safety

Role Overview: As a Machine Learning Engineer at Mercari, you will be responsible for developing and maintaining machine learning systems, with a focus on the Recommendation domain. Your role will involve optimizing machine learning algorithms and models to enhance the marketplace app's recommendation system, improving the overall user experience. Key Responsibilities: - Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that enhance user engagement. - Conduct data analysis and experimentation with large-scale datasets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms. - Deploy scalable and efficient recommendation solutions using machine learning frameworks and libraries. - Stay updated on advancements in AI/machine learning techniques to recommend innovative approaches that enhance recommendation capabilities. - Monitor system performance, conduct A/B testing to evaluate feature effectiveness, and contribute to the fast-paced environment at Mercari. Qualifications Required: - Over 5 years of professional experience in end-to-end development of large-scale ML systems in production. - Strong expertise in delivering machine learning solutions from experimentation to model deployment in large-scale production systems. - Proficiency in common machine learning frameworks and libraries, deep understanding of machine learning and software engineering fundamentals, and basic knowledge of monitoring systems in a production environment. - Preferred skills include experience in developing AI-based anomaly detection and content moderation systems, familiarity with technology such as Docker and Kubernetes, experience with cloud platforms like AWS, GCP, or Microsoft Azure, and microservice development and operation using Docker and Kubernetes. - Experience utilizing deep learning models in production and having publications in top-tier peer-reviewed conferences or journals are desirable qualifications. (Note: Additional details about the company were not provided in the job description.),