Job DescriptionJob ID: MJ000208
We are establishing a brand new, high impact AI & Algorithm Domain within our core Business Unit. As a founding Senior Algorithm Engineer, you will not only drive our next-generation Generative AI capabilities (such as customer service chatbots and translation agents) but also architect and optimize core algorithmic engines, including Search, Recommendation, Advertising and Dynamic Pricing.
This is a rare, high-ownership role where your algorithms will directly impact millions of travelers, optimizing user experience, conversion rates and revenue management from day one.
Key Responsibilities
Core Algorithmic Optimization
- Search & Recommendation: Design and implement high-concurrency search ranking, query understanding, intent detection, and personalized recommendation algorithms to boost CTR (Click-Through Rate) and CVR (Conversion Rate) for our core products.
- Dynamic Pricing & Revenue Management: Develop pricing models, price elasticity algorithms, and demand forecasting frameworks to optimize ticket pricing strategies and revenue in real-time.
- Advertising & Marketing: Build CTR/CVR prediction models and intelligent bidding algorithms to optimize advertising ROI and marketing traffic allocation.
Generative AI & NLP Applications
- Design and deploy multi-turn Customer Service Chatbots and intelligent Translation Agents using advanced LLM reasoning architectures (Agents, RAG, tool reflection).
- Lead domain-specific model fine-tuning (SFT/DPO) to solve complex, multilingual travel scenarios.
End-to-End Algorithm Lifecycle
- Own the entire lifecycle of algorithm development: from offline data analysis and feature engineering to model training, online A/B testing, and continuous iteration.
Engineering & Scalability: Partner with data and platform teams to ensure algorithm models are scalable, low-latency, and cost-efficient under high traffic volume.
Job Requirements
- 5+ years of experience as an Algorithm Engineer / Data Scientist, with a proven track record of deploying machine learning models in large-scale production environments (E-commerce or OTA background is highly preferred).
- Expert-level proficiency in Python and standard machine learning/deep learning frameworks (PyTorch, TensorFlow, Scikit-Learn, LightGBM/XGBoost).
Preferred Domain Expertise
- Strong background in Recommendation Systems / Search Systems (Graph neural networks, Deep Retrieval, Learning to Rank).
- Experience in Dynamic Pricing / Operations Research (Time-series forecasting, Reinforcement Learning, price elasticity modeling).
- Experience in NLP / Generative AI (Transformers, LLM fine-tuning, Agent workflows).
- Solid experience with big data processing tools (Spark, Hive, SQL) and familiarity with vector databases or search engines (Elasticsearch, Milvus).
- Master's or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Operations Research, or a related quantitative field.
