Applied Scientist Intern, International Technology, 2026 Beijing
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El puesto
This internship focuses on applying scientific methods to improve product search effectiveness.
Design and evaluate ML models using TB-scale product and traffic data.
Integrate these models into search systems to serve millions of users.
Balance business metrics and latency by considering trade-offs and deployment constraints.
Collaborate with cross-functional teams and drive experiments from conception to feedback-driven iteration.
Ideal candidates are pursuing advanced degrees in CS/AI/ML and enjoy solving hard technical problems with real-world impact.
Design and evaluate ML models using TB-scale product and traffic data.
Integrate these models into search systems to serve millions of users.
Balance business metrics and latency by considering trade-offs and deployment constraints.
Collaborate with cross-functional teams and drive experiments from conception to feedback-driven iteration.
Ideal candidates are pursuing advanced degrees in CS/AI/ML and enjoy solving hard technical problems with real-world impact.
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