Machine Learning Research Scientist

Samsung R&D Center is looking for a Machine Learning Research Scientist to join us.

Samsung Israel Research Center (SIRC) is shaping the world of tomorrow, today. Focusing beyond the horizon and pushing exciting developments in many key areas of technology. Samsung is creating a new era of continuous innovation, bringing value and contribution to society and creating a workplace where our employees can enjoy making the most of their talent, creativity and passion.

About AFSL

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 part in the development of a novel AI-based cybersecurity technology designed to protect against potential threats targeting storage devices manufactured by Samsung.

• Design and apply algorithms, based on time series models, other fields in machine learning and signal processing.
• Take part in the entire research cycle: the idea phase, collecting and analyzing the data, writing simulations, exploring algorithmic approaches, building proofs-of-concept.
• Communicate the results of your work to other team members by preparing intelligible reports that include clear visuals, analysis and explanations.
• Share you work in external conferences, journals and patent submissions.
• Communicate with hardware and firmware designers that will implement the algorithm in the storage devices.
• 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

• Ph.D./M.Sc. in Computer Science, Electrical Engineering or a related field
• Track record of publishing papers in high quality conferences such as NeurIPS and ICML
• 5+ years of work experience with primary emphasis on AI research
• Proficiency in Python and ML packages