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- Support the end-to-end product lifecycle of LLM-based user and item features — from requirement analysis, research validation, to rollout and iteration.
- Conduct LLM research benchmarking and work with algorithm teams to bring feature concepts into production.
- Define evaluation criteria and participate in quality assessment of LLM-generated features.
- Understand needs across traffic surfaces (Search, Recommendation, Food, Chat) and help translate scenario requirements into feature roadmaps.
- Analyze A/B experiment results with downstream teams, identify issues, and propose actionable strategy iterations.
- Coordinate across Product, Engineering, Algorithm, and Business teams to ensure alignment and timely execution.
- Bachelor’s degree or above in Computer Science, Engineering, Data, Product, or related fields.
- Strong analytical, communication, and problem-solving skills.
- Passion for LLMs, AI products, and data-driven decision-making.
- Ability to collaborate across technical and business teams in a fast-moving environment.
- Bonus: familiarity with search/recommendation systems, LLM evaluation, or A/B testing.
- Full-time interns preferred
- Part-time interns who can commit at least 3 working days a week are also welcome to apply
- Minimum commitment is 3 months, January-April.
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