Research Scientist/Engineer - Machine Learning & Deep Learning

Organization Introduction

Data Intelligence Lab researches and develops the latest Deep Learning/Machine Learning algorithm to improve the accuracy on data analysis, prediction, perform various AI proejcts of LG Group, and improve work efficiency and product functionality. 

Responsibilities

• Deep Learning/Machine Learning algorithm research/development for anomaly detection, prediction and optimization, and data generation 
• Improvement of work/R&D efficiency, productivity improvement, product/service improvement, music composition through research of the latest Deep Learning/Machine Learning algorithm
• Related algorithms: Anomaly/Novelty Detection, Prediction, Time-Series Forecasting, Variational AutoEncoder, Generative Adversarial Network, Reinforcement Learning, Explainable AI, Transfer Learning, etc.
• Main application fields: Predictive Maintenance, Demand Forecasting, Price Forecasting, Usage Forecasting, Planning Optimization, Operations Optimization, Recommendation, Intelligent Decision Making, etc.

Qualifications

[Minimum Qualifications]

• Master's degree (M.S.) in a related field or 3+ years of industry experience related to Data Intelligence
• Algorithm research/development experience in Deep Learning/Maching Learning field 
• Experience with Machine Learning Framework such as Keras, Tensorflow, PyTorch, Caffe, etc.
• Experience with programming languages such as Python, C/C++, and Java

[Preferred Qualifications]

• Ph.D. degree in a related field
• Machine Learning thesis publication or contest-winning experience (e.g. ICML, NeurIPS, ICLR, etc.)
• Expertise in  Machine Learning Framework such as Keras, Tensorflow, PyTorch, Caffe, etc.
• Experience in performing data analysis and prediction tasks using Deep Learning/Machine Learning

Major

• Computer Science, Electrical Engineering, Industrial Engineering, Mechanical Engineering, Chemical Engineering, etc.

Process

• CV/ Application Screening → Coding Test → 1st Role-related interview (Online) → Final Interview (Onsite)

* The process could change. We will provide more guidelines individually after your application passes screening.

Apply

Please send your CV to careers@lgresearch.ai