Description

Join the cutting-edge team at Samsung R&D Center as we embark on shaping the future of technology today. Beyond merely envisioning the horizon, we are actively pushing boundaries in various key areas of innovation. Samsung is committed to pioneering continuous advancements, delivering value to society, and fostering an environment where our employees can fully unleash their talents, creativity, and passion. Join us in building the tomorrow we envision,

The Group

The Samsung Advanced Flash Solution Lab (AFSL) is part of Samsung’s memory business, the world’s largest manufacturer of memory and storage devices for mobile phones, personal computers, servers and data centers. In this highly competitive field, innovation is critical for the success of next generation products.

Our mission at AFSL is to augment Samsung’s memory and storage products with the newest innovative technologies, improving their capacity and performance many-fold, and to create next generation technology.

We are a team of scientists and engineers that build on the latest advancements in our fields to invent new methods and applications of machine learning, signal processing and security.

What will you do?

In this role, you will take ownership on the data collection and analysis process for the development of AFSL solutions that are based on Machine Learning and AI and will take part in research of new algorithms.  In particular:

• Design and define datasets for model benchmarks and development relying on literature research, data analysis and cyber-attacks experiments.
• Oversee data collection by planning and owning their end-to-end execution: from first collection definition to the definition of the choice of appropriate storage infrastructure and backup for the collected data.
• The role involves a significant interface with other technical stakeholders in the organization including SW infrastructure engineers, AI researchers and the IT team.
• Own the planning, execution, and implementation in high-quality python code, of data analysis pipelines that benchmark baseline models, feature distributions and labeling algorithms.
• Take part in the entire research cycle: the idea phase, developing new AI models, designing proofs-of-concept.
• Communicate the results of your work to other team members by preparing intelligible reports that include clear visuals, analysis and explanations.
• Gain knowledge on storage cybersecurity threads.
• Gradually acquire an increasing knowledge of memory systems, which will let you identifying bottlenecks and opportunities, and suggesting new project ideas.

Requirements

• MSc in Data Science, Electrical Engineering, Computer Science
• +3 years of relevant work experience.
• Proficiency in Python and ML packages.