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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
Required ML Engineer
About this position:
As part of our Deep Learning Model Optimization team, youll be tasked with the development and implementation of algorithms for creating neural networks that are optimized for our inference processors.
Who Are We Looking For?
We are looking for applicants 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 customer application.
Finally, deep learning development is SW intensive, and applicants must have knowledge and experience in scientific computing and programming. In general, we hold SW and automation skills in high regard.
The following soft skills are expected: having interest and curiosity about other ML products in the market, and taking 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.
Responsibilities:
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 customers and guide the hardware development of future chips to meet these requirements.
Network compression algorithms development and implementation. Transforming neural network to more efficient version with minimum performance degradation. The task usually also includes modifying the networks and retraining the efficient version to get the best performance.
Support customers ML/algorithmic teams to extract the full value from our companys offering.
About this position:
As part of our Deep Learning Model Optimization team, youll be tasked with the development and implementation of algorithms for creating neural networks that are optimized for our inference processors.
Who Are We Looking For?
We are looking for applicants 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 customer application.
Finally, deep learning development is SW intensive, and applicants must have knowledge and experience in scientific computing and programming. In general, we hold SW and automation skills in high regard.
The following soft skills are expected: having interest and curiosity about other ML products in the market, and taking 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.
Responsibilities:
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 customers and guide the hardware development of future chips to meet these requirements.
Network compression algorithms development and implementation. Transforming neural network to more efficient version with minimum performance degradation. The task usually also includes modifying the networks and retraining the efficient version to get the best performance.
Support customers ML/algorithmic teams to extract the full value from our companys offering.
Requirements:
B.Sc. in CS/EE/Math/Physics from a University or military equivalent experience.
Hard-working, committed, and self-reliant.
+5 years of experience in R&D
At least two of the following skills:
Extensive experience in the field of Deep Learning (minimum of 5 years)
Research experience equivalent to M.Sc. thesis or greater.
Experience in system or hardware architecture roles.
Advantages
M.Sc. in CS/EE/Math
Extensive experience with the development of computer vision or NLP products.
Experience with MLops, DL deployment, and DL frameworks.
SW architecture skills.
B.Sc. in CS/EE/Math/Physics from a University or military equivalent experience.
Hard-working, committed, and self-reliant.
+5 years of experience in R&D
At least two of the following skills:
Extensive experience in the field of Deep Learning (minimum of 5 years)
Research experience equivalent to M.Sc. thesis or greater.
Experience in system or hardware architecture roles.
Advantages
M.Sc. in CS/EE/Math
Extensive experience with the development of computer vision or NLP products.
Experience with MLops, DL deployment, and DL frameworks.
SW architecture skills.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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