onsite
Machine Learning Engineer - Recommendation System
Machine Learning Engineer
The Machine Learning Engineer will be responsible for designing and optimizing context-aware recommender systems for e-commerce, focusing on core modules like recall/ranking/rerank. This role involves leveraging an in-depth understanding of e-commerce and machine learning algorithms to enhance recommendation strategies and improve user experience.
About the role
About The Team
Our team builds the recommendation engine at Shopee, and strives to provide the best online shopping experience for our users. You will have the chance to interact with a fast-growing user base and item base, participate in the end-to-end optimization of our recommender system, as well as develop the most advanced business solutions. If you love technologies as much as we do, then welcome to join and together we can build the first-rate recommendation engine.
Job Description
- Responsible for designing multiple context-aware recommender systems in e-commerce.
- Drive improvement of core modules like recall/ranking/rerank in the recommender system by technology.
- In-depth understanding of e-commerce to optimise recommendation strategies like customer lifecycle analytics and cold start solutions, so as to consistently take the impact of our recommendation to the next level.
Requirements
- Minimum 5 years of hands-on experience in search/personalised recommendation/advertising or related fields.
- Familiar with recommender system business, with specialisation in one or multiple areas: ranking, reall, user profiling, content understanding.
- In-depth understanding of machine learning algorithms such as LR/GBDT/DNN and large-scale sparse feature modeling, and deep learning frameworks (e.g. tensorflow, caffe, mxnet, pytorch)
- Good data structure and strong coding skills. Familiar with Linux, and at least one of the programming languages: C++, Go or Python.
- Preferably to have working experience in e-commerce search, recommendation and advertising.
Skills
Searchpersonalised recommendationAdvertisingrankingrealluser profilingcontent understandingMachine Learning AlgorithmsLRGBDTDNNlarge scale sparse feature modelingTensorFlowcaffeMXNetPyTorchData StructureCodingLinuxC++GoPython