Description
:Department Overview
Following the strategic vision "Rakuten as a data-driven membership company", we are expanding our data activities across our multiple Rakuten group companies.
Our mission is to provide data/AI related products to users to improve marketing efficiency and effectiveness.
Position:
Why We Hire
We are on the lookout for a Hybrid Machine Learning and Software Engineer to enhance our international AI product team. This unique role is designed to merge the realms of machine learning and software engineering, focusing on the development of AI-driven products for targeted marketing campaigns. Our goal is to bridge the gap between theoretical models and practical, scalable solutions that meet our marketers' needs.
Position Details
The Machine Learning Engineer will be instrumental in transforming prototypes into production-level solutions, developing new features for our AI-driven marketing products, and designing robust machine learning architectures. This role requires a blend of machine learning expertise and software engineering skills to contribute to our technical vision and roadmap.
Mandatory Qualifications:
Marketing/Ad Industry Knowledge and Experience
Experience in AI Product Development:Demonstrated experience in developing AI products, particularly in targeting campaigns, audience expansion, and marketing campaign automation. Familiarity with real-time display banner optimization is a plus.
Fundamental Business Skills
Analytical and Problem-Solving Skills:Ability to work from first principles to solve ambiguous and complex problems. Strong analytical background with a quantitative degree.
Communication and Collaboration:Excellent communication skills with the ability to work cross-functionally among multiple teams and stakeholders. A professional working attitude that respects coworkers and embraces different cultures.
Project Management and Leadership:Experience in driving the adoption of machine learning workflow best practices and contributing to the technical vision and roadmap.
English Language
Proficiency Required:Business-level English proficiency is mandatory for effective communication within our international team.
Technical Expertise
Educational Background:Bachelor's degree or higher (Masters or Ph.D. preferred) in Computer Science, Physics, Mathematics, Statistics, or a similar quantitative field.
Programming Skills:Strong Python & SQL skills, with experience in Docker & Kubernetes.
Machine Learning Frameworks:Comfortable working with various machine learning frameworks and selecting the appropriate framework for the job.
Production Experience:At least 3 years of experience in shipping production Data Science/Machine Learning applications, covering the full spectrum from data pipelines to model training and inference (both batch and real-time), and tracking/observability.
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