Senior Staff Machine Learning Engineer, Ads Targeting and Retrieval
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职位介绍
Own end-to-end design and execution of ML-based targeting products for ads, including auto targeting and user lookalikes.
Define the technical roadmap, drive research directions, and lead day-to-day project execution across retrieval and ranking domains.
Research, implement, test, and launch new retrieval architectures with deep learning (GNNs, transformers, two-tower models, LLMs) to improve advertiser outcomes.
Provide mentorship to junior MLEs and spearhead offline and online experimentation for targeting models.
Work on large-scale data systems and product integration, collaborating closely with cross-functional partners in research, product, and infrastructure.
Translate data analysis and industry insights into prioritized roadmaps, ensuring scalable and robust ML solutions.
Define the technical roadmap, drive research directions, and lead day-to-day project execution across retrieval and ranking domains.
Research, implement, test, and launch new retrieval architectures with deep learning (GNNs, transformers, two-tower models, LLMs) to improve advertiser outcomes.
Provide mentorship to junior MLEs and spearhead offline and online experimentation for targeting models.
Work on large-scale data systems and product integration, collaborating closely with cross-functional partners in research, product, and infrastructure.
Translate data analysis and industry insights into prioritized roadmaps, ensuring scalable and robust ML solutions.
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