Position Summary
Samsung Ads is a rapid-growing advanced advertising technology company that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe.Role and Responsibilities
Responsibilities
Explore cutting-edge machine learning technologies for our products
Design and develop deep learning algorithms and models for real-world products
Build next-generation Generative AI-based applications to meet user requirements and create great user experiences with AI in Samsung Ads
Closely work with the machine learning engineering team to deploy new models to generate real-world impact
Create quick prototypes and proof-of-concepts for future product features
Design experiments, perform evaluations, and apply enhancements to our products
Publish research results in top venues and file patents
Experience Requirements:
PhD students in Computer Science or relevant fields
Solid theoretical background in machine learning and/or data mining
Hands-on experience with machine and deep learning algorithms and models
Thorough understanding of state-of-the-art LLM/Diffusion models
Proficiency in data structures, algorithms, and machine learning libraries (e.g., TensorFlow, Keras, etc.)
Strong programming skills with Python
Good communication and interpersonal skills
Publications in relevant top venues (e.g., KDD, NIPS, ICML, ICLR, AAAI, IJCAI, ICDM, ACL, etc.)
Preferred Experience Requirements:
Basic knowledge about big data tools and data pipelines
Skills and Qualifications
The salary range for this role, for candidates based in California, is expected to be between $42/Hour and $62/hour. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
LI-JT1
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Yearly based
645 Clyde Avenue, Mountain View, CA, USA, United States