Lab Summary:

Samsung Knox Cloud Service team focuses on the development and research of large-scale production-level machine learning algorithms, models, and systems and aims at representing Samsung's leadership in large-scale machine learning products. The team productize wide range of Machine Learning algorithm from various Samsung Research teams and Research papers. This is an exciting and unique opportunity for a talented and hard-working machine learning engineer to get involved in envisioning, designing and implementing cutting-edge products with a growing team.

Come join the Samsung Knox Cloud Service team and help us shape the future role of Samsung in the machine learning domain!

Position Summary:

In Knox Solutions Innovation team, we are looking for a passionate Senior Staff Research Engineer 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:

• Explore cutting-edge technologies for our products
• Design, develop, and productize machine learning solutions for Samsung services
• Productize Machine learning algorithms from Samsung Research teams or Research Papers
• Create quick prototypes and proof-of-concepts
• Design experiments, perform evaluations, and apply enhancements to our products

Required Skills:

• Master or PhD degree in Computer Science or relevant fields or equivalent combination of education, training and experience
• 3 years’ industrial experience in building machine learning and deep learning-based software solutions in a production setting
• Hands-on experience with large language models and transformer-based models
• Hands-on experience developing cloud applications in Java or Python for highly available distributed systems
• Hands-on experience with data modeling and database performance, preferably with Mongo DB
• Proficiency in data structures, algorithms, and deep learning libraries (e.g., TensorFlow, Keras, and Pytorch etc.)
• Exceptional problem-solving and interpersonal skills and proven ability to excel in a fast-paced development team
• Experience with security & privacy concepts such as zero trust and differential privacy
• Hands-on experience in Distributed Machine learning technologies like Spark ML, Ray.io, and Kubeflow