about the company.
Technology
about the team.
Data
about the job.
1、Analyze assistant interactions, early usage data, and internal evaluations to identify improvement opportunities
2、Generate data-driven insights to guide product development and feature prioritization
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3、Conduct research to improve agent architecture and user intent understanding to enhance response quality
4、Design and execute experiments, identifying the right metrics to evaluate impact
5、Collaborate with engineers and other Agent Science team members to implement and productionize improvements
6、Leverage diverse datasets across ecosystem to improve assistant capabilities and deliver customer value
Clearly communicate findings and contribute to research and product decisions
skills and experience required.
1、3+ years of experience in data science, machine learning, or a related quantitative field
2、Strong Python skills for data processing, analysis, and prototyping
3、Proficiency in SQL and working with large-scale structured data
4、Solid foundation in statistics, experimental design, and predictive modeling
5、Ability to lead projects end-to-end and work effectively across teams
6、Clear communicator with a proactive, problem-solving mindset
7、Experience with conversational AI, NLP, or generative AI systems
8、Familiarity with LLM evaluation methods and user interaction data
9、Background in applied machine learning, cognitive science, or reinforcement learning
Experience working in product-oriented, cross-functional environments
