As a Lead Data Science Architect, you will be responsible for designing and overseeing the implementation of ML architecture which powers our organization's ML solutions for the Japan PPH Platform. Problem domains spanned include monetization, sponsored search, and recommendations. You will work closely with cross-functional teams to design ML architecture, develop best practices, and ensure the scalability and performance of our ML infrastructure.

1. Architectural Leadership: Lead the design, implementation, and deployment of ML architecture, ensuring alignment with organizational goals and industry best practices
2. Solution Design: Collaborate with ML and engineering teams across the enterprise to design ML models and systems that solve complex business problems in a scalable, performant manner
3. Team Collaboration: Work closely with cross-functional teams, and business stakeholders, to understand requirements and provide technical guidance.
4. Research and Innovation: Stay current with emerging ML trends, technologies, and methodologies, apply them to enhance our ML capabilities
5. Mentorship and Training: Provide guidance, mentorship, and training to junior ML engineers and architects

- Master's degree or PhD in Computer Science, Engineering, or related fields

- 7 years of relevant, industry experience, with 3 years of ML lead / architect experience

- Experience in designing and deploying large-scale, cloud-based machine learning and deep learning applications/systems

- Experience using machine learning and deep learning frameworks, such as PyTorch or Tensorflow

- Prior working experience in the advertising / monetization domain is preferred. Areas of interest include ads bidding, ads ecosystem/marketplace, ads infrastructure, ads measurement, ads optimization, ads quality, ads ranking, ads retrieval, ads targeting.

- Prior working experience with AWS services, such as S3, SNS, SQS, DynamoDB, is a plus.

- Expertise in an object-oriented language (Java, Python) for backend software development.

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