Intern

Lab Summary: 

Samsung Knox™ (https://www.samsungknox.com/) is Samsung’s guarantee of security, and a secure device gives you the freedom to work and play how, where, and when you want. Samsung Knox consists of a highly secure platform built into a variety of Samsung devices, including Samsung’s mobile phones and laptop computers.

Come join the Samsung KNOX team and help us define and develop the future core technologies for Samsung devices and services!

Position Summary:

In Knox Solutions Innovation team, we are looking for a passionate Research Engineer Intern to research innovative ideas, design end-to-end data pipelines, and create ML solutions for Samsung’s array of B2B products. You will research and develop innovative ML strategies for challenging problems that will affect Samsung B2B products.

In this position, you will join a collaborative team of world-class developers/research engineers and have a chance to integrate your innovative solution into our Security & Intelligence services in Production.

Position Responsibilities:

• Create quick prototypes and proof-of-concepts
• Explore cutting-edge technologies for our products
• Design, develop, and productize AI/ML based solutions for Samsung services
• Design, develop, and productize Machine Learning algorithms from Samsung Research teams or Research Papers
• Design experiments, perform evaluations, and apply enhancements to our products
• Review work with the engineering team weekly and able to present your solution to SRA by the end of your internship

Required Skills:

• PhD or M.S. students in Computer Science, Electrical & Computer Engineering or relevant fields
• Familiar with AI/ML latest framework, such as Pytorch or Tensorflow
• Hands-on experience in various tabular DL approaches (such as MLP, Transformer, GNN, Autoencoder, Diffusion model, PFN, NODE, etc.) on heterogeneous longitudinal data for anomaly detection, classification and regression tasks
• Strong hands-on experience in conducting architectural changes on given AI/DL solutions for research/work purposes.  For example, implementing cross-table treatments such as feature tokenization and attention layer tailoring to fuse numerical and categorical structured tabular data into a dense common representation
• High-quality coding in Python
• Familiar with ML model deployment and inferencing in Android OS
• Familiar with Data Structures, Algorithms, and Linux OS concepts
• Ability to solve problems
• Open communicator with excellent visual, verbal, and written communication skills
• Passionate about researching innovative solutions and creating enterprise products for web and mobile

Preferred Skills:

• First- or co-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar.  If yes, please provide the paper DOI link
• Familiar with root cause analysis using causal inference
• Familiar with AI retrieval solutions (such as Graph mining, RAG, etc.)
• Familiar with synthetic data generation