The Samsung Ads AI Team focuses on the development and research of large-scale production-level deep learning algorithms, models, and systems for Samsung advertising service, and aims at representing Samsung's leadership in large-scale machine learning products. The team’s mission is to build a state-of-the-art deep learning platform to support different machine learning use cases in the Demand Side Platform (DSP). The team’s research areas include a wide range of machine learning problems in the field of digital advertising, such as pCTR prediction, pCVR prediction, bidding strategies, and personalized recommendation. This is an exciting and unique opportunity for a talented and hard-working deep learning engineer to get involved in envisioning, designing and implementing cutting-edge products with a growing team. Publications and patents are also considered as part of job responsibilities.
Come join the Samsung Ads AI team and help us shape the future role of Samsung in the machine learning domain!
Explore cutting-edge technologies for our products
Design and develop deep learning algorithms for real-world advertising products
Create quick prototypes and proof-of-concepts
Design experiments, perform evaluations, and apply enhancements to our products
Publish research results in top venues and file patents
Solid theoretical background in deep/machine learning
Hands-on experience of using deep/machine learning algorithms
Proficiency in data structures, algorithms and deep learning libraries (e.g., TensorFlow, Keras, etc.)
Strong programming skills with Python and/or Java
Excellent communication and interpersonal skills
Master or PhD degree in Computer Science or relevant fields
Preferred Experience Requirements:
Publications in relevant top venues (e.g., KDD, NIPS, ICML, AAAI, IJCAI, ICDM, ACL etc.)
Basic knowledge about Amazon Web Services
Basic knowledge of big data tools and data pipelines
Basic knowledge about RDBMS and NoSQL databases
Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace.