- My client is a global leader in tech industry
- This opportunity offers competitive salary package
About Our Client
The client is a leading global tech company renowned for its innovative approach to social media and entertainment. With a mission to inspire creativity and bring joy, the company operates at the forefront of mobile video and content platforms, connecting millions of users worldwide and fostering a dynamic, fast-paced work environment focused on continuous innovation and growth.
Job Description
- Search and Recommendation Algorithm Development: Enhance search traffic and user experience by improving the accuracy of personalized recommendations.
- Search Engine Optimization: Develop and optimize search ranking algorithms to ensure the relevance of user query results.
- Technical Applications: Utilize ranking, Natural Language Processing (NLP), and multimodal technologies to improve search result accuracy.
- Data Analysis and Model Optimization: Conduct data mining and analysis to improve the quality of recommended content, supporting the development of scalable AI/ML models.
The Successful Applicant
- Education: Bachelor's degree or above in Computer Science or a related field.
- Experience: At least 3 years of relevant experience, with a preference for those with experience in machine learning, recommendation systems, or search algorithm development.
- Programming Skills: Proficiency in Python, Java, or C++, with a solid foundation in algorithms and data structures.
- Technical Skills: Familiarity with mainstream recommendation algorithms (e.g., collaborative filtering, matrix factorization) and experience with deep learning and transfer learning.
What's on Offer
- Opportunities to work on cutting-edge recommendation systems and search engines
- Access to a global network of talented engineers and data scientists
- Comprehensive benefits package
- Chance to have a direct impact on millions of users globally
- Multilingual education resources and rich international development opportunities, fostering personal growth
Contact
Lydia Chen (Lic No: R22108104 / EA no: 18C9065)
Quote job ref
JN-052024-6428327
Phone number
+65 6416 9829
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