Machine Learning Research Scientist

Job Description:

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.
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.

Additional Positions:

Category:

Job Qualifications:

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

Company Occupation:

Video/Audio Related, High Tech, Semiconductor/capital equipment

Company Size:

Large (150+)