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An innovative company is seeking a talented machine learning engineer to enhance e-commerce search recommendation services. This role focuses on optimizing recommender systems using hyperscale machine learning models and advancing the interaction between recommendation and NLP technologies. If you have a strong background in coding, data structures, and algorithms, along with a passion for improving user experience, this opportunity could be the perfect fit for you. Join a forward-thinking team that values creativity and problem-solving in the fast-paced world of e-commerce.
Responsibilities
- Elevate search recommendation services and models for E-commerce, driving heightened e-commerce search traffic, while enhancing user search and purchasing cognition.
- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
Qualifications
Minimum Qualifications
- Bachelor or advanced degree in computer science or a related technical discipline.
- Excellent coding skills. Solid knowledge of data structure and algorithms.
- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.
- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
Preferred Qualifications
- 3+ years of machine learning experience
- Good product sense with a focus on user experience.
- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.