Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Machine Learning Engineer (Recommendation)
Company Overview:
The company behind this opportunity is a global leader in short-form mobile video platforms. It is dedicated to inspiring creativity and bringing joy to users worldwide. With a mission to enrich life through innovation, the organization focuses on building products that foster creativity and provide high-quality, personalized experiences to millions of users. The company operates offices in major cities, including Los Angeles, Singapore, New York, London, and more.
Job Description:
Responsibilities:
- Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency.
- Optimize massive commodity relationship mining and ranking, as well as the recall of creators’ product recommendations, to boost platform GMV.
- Use large-scale data to deeply analyze the behavior of creators and merchants, building targeted algorithm strategies to empower them and improve monetization efficiency.
- Contribute to the rapid development of e-commerce business by serving millions of merchants, exploring more efficient business models, and enhancing the shopping experience for users.
- Support the production of scalable and optimized AI/machine learning models.
- Focus on algorithms for the extraction, transformation, and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions.
- Run experiments to test the performance of deployed models, addressing any bugs that arise in the process.
- Work in a collaborative team environment applying knowledge of statistics, scripting, and programming languages.
- Collaborate with relevant software platforms in which the models are deployed.
Qualifications:
Minimum Qualifications:
- Bachelor’s, Master’s, or PhD degree in Computer Science or related fields.
- Experience in C++ and Python. Proficiency in at least one Big Data tool (e.g., Hive SQL, Spark, MapReduce) and at least one Deep Learning tool (e.g., TensorFlow, PyTorch).
- Applied machine learning experience, familiarity with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, etc.
- Industry experience in personalized recommendation, online advertising, information retrieval, or related fields.
Preferred Qualifications:
- Excellent learning ability and good communication and cooperative spirit.
- Passionate about techniques and solving challenging problems.
- Publications at top conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys, and others.
Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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