Responsibilities
As part our Deep Learning Model Optimization team you’ll be tasked with the development and implementation of algorithms for
creating neural networks that are optimized for our inference processors.
The team is in charge of:
- Develop quantization algorithms that will translate neural networks to limited precision representation with minimum
distortion and degradation.
- Maintaining the company-wide knowledge base of the latest trends in computer-vision and DL based edge applications.
- Hardware development guidance. Following the trends in the machine learning world to predict the requirements of future
costumers and guide the hardware development of future chips to meet these requirements.
- Network compression algorithms developments and implementation. Transforming neural network to more efficient version with minimum performance degradation. The task usually also includes modifying the networks and retraining of the efficient version to get the best performance.
- Support customers ML/algorithmic teams to extract the full value from our company’s offering.
We are looking for applicant with a strong R&D background who are versatile and can learn new skills quickly. Applicants should
have a good mathematical background and feel comfortable and enjoy reading academic papers. The position is very system
oriented, and we are looking for candidates who will feel comfortable when required to deep dive into our HW architecture, SW toolchain or the customers application. Finally, Deep Learning development is SW intensive, and applicants are expected to have
knowledge and experience of scientific computing and programming. In general, we hold SW and automation skills in high regard.
The following soft skills are expected: have interest and curiosity about other ML products in the market, take part in discussions
about future directions we should explore. Do not be afraid to experiment with new technologies and challenge existing
solutions. Work in an open and well documented manner and enjoy presenting your work to your peers.
Requirements
- B.Sc. in CS/EE/Math/Physics from a University or military equivalent experience.
- At least two of the following skills:
- Significant experience development in python/C/Matlab.
- Research experience equivalent to MS.c thesis or greater.
- Experience in system or architecture roles.
- Passion for becoming an expert in the field of deep learning.
- Hard-working, committed, and self-reliant.
Advantages
- An M.Sc/Ph.D in EE/CS or the exact sciences.
- Experience with the development of deployment of computer vision or NLP products.
- Experience with deep learning frameworks.
- Experience with MLops.
