Position Details
About this role
This role involves developing and optimizing large-scale search and recommendation AI models, including multi-modal retrieval and sequential systems, to enhance travel search experiences.
Key Responsibilities
- Research and deploy advanced ML solutions
- Architect multi-modal retrieval frameworks
- Develop ranking pipelines and embeddings
- Lead online evaluation efforts
- Collaborate on scalable model deployment
Technical Overview
The environment includes deep learning frameworks like TensorFlow and PyTorch, large-scale data processing, and deployment of AI models for personalized content discovery.
Ideal Candidate
The ideal candidate is a senior machine learning scientist with expertise in developing large-scale search and recommendation models, including multi-modal retrieval and sequential systems. They have strong research backgrounds and experience deploying models in production environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with large-scale recommendation systems, No experience with model deployment or online evaluation, Insufficient knowledge of deep learning frameworks
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