Machine Learning Research Scientist at Miray Holdings

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

12 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Reinforcement Learning, Time-Series Data, Tabular Data, Algorithm Design, Data Analysis, Simulations, Proof-of-Concept Implementation, Technical Reporting, Peer-Reviewed Publications

Industry

Consumer Electronics

Description

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, data center and enterprise markets. 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 products with the newest innovative algorithms, improving their capacity and performance many-fold, and to create next generation technology. What will you do You will be part of AFSL’s Machine Learning Group, conducting applied research on learning-based methods for security and reliability in storage systems, with a strong emphasis on peer-reviewed publications. You will own the full research lifecycle - from problem formulation and data analysis to algorithm design, simulations, and proof-of-concept implementation. Also, you will take part in dedicated hardware development process, working closely with hardware, system and firmware teams. You will communicate results through clear technical reports and publish your work via top-tier conferences, journals, and patent submissions. Representative publications from the group are available for reference: NeurIPS2023: Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability NeurIPS2025: CLEAR: Command Level Annotated Dataset for Ransomware Detection Requirements Ph.D in Computer Science, Electrical Engineering or a related field Proven record of publications in top-tier machine learning conferences (e.g. NeurIPS, ICML) Experience with Reinforcement Learning, Time-Series and Tabular Data

Responsibilities

You will conduct applied research on learning-based methods for security and reliability in storage systems. This includes owning the full research lifecycle and communicating results through technical reports and publications.