Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Preferred Qualifications:
Good algorithmic and modeling skills, with solid problem-solving capabilities.
Experience in NLP, RL, search, or recommendation systems is oreferred.
Familiarity with complex document understanding, RAG frameworks, and multi-agent orchestration is a strong plus.
Excellent communication and collaboration skills.
Responsibilities
Develop sub-agents for search, find, and related tasks over complex enterprise private data with diverse types and heavy schema.
Optimize core algorithms for RAG systems, including retrieval, ranking, and grounding extraction.
Explore novel task decomposition and execution strategies within multi-agent collaboration frameworks.
Analyze offline and online performance signals to identify optimization opportunities and improve user experience and system efficiency.
Collaborate closely with product and platform teams to deliver robust, scalable solutions.