What You'll Do:

As a Machine Learning Intern in the Onsite Recommendation Models team, you’ll work closely with experienced ML engineers to tackle a real, ambitious production challenge: building a unified multi‑task recommendation model.

From day one, you’ll be supported by a mentor and fully integrated into the team. You’ll be encouraged to ask questions, share ideas, and actively participate in technical discussions, workshops, and knowledge‑sharing sessions.

Your work will have real impact, powering recommendation systems used by millions of users.

During the internship, you will:

Dive deep into our current recommendation systems, such as Search‑to‑Product, Product Similarity, and Product Complementarity

Explore state‑of‑the‑art multi‑task learning approaches for recommendation systems

Extend and improve an existing two‑tower deep learning model to support multiple recommendation tasks

Design clear experiment...