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About
Design, scale, build, evaluate, integrate, and refine reward signals for recommendations through hands-on ML development Promote best practices of ML systems development, testing, and evaluation within the team and organization Lead collaborations to integrate and A/B test mid-term signals in various recommendation systems
Required Qualifications
Strong background in machine learning with expertise in statistics, optimization, and relevant models Hands-on experience with large cross-collaborative machine learning projects and stakeholder management Experience implementing production machine learning systems at scale in programming languages such as Java, Scala, or Python Familiarity with large scale data processing frameworks like Apache Beam or Apache Spark, and cloud platforms like GCP or AWS Understanding of agile software processes and data-driven development
Languages
- English
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