ML Engineer

Hailo is a leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our team’s expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.

Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.

To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, Hailo is leading the edge AI revolution.

About this position

As part of 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 Hailo 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.

• 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 company’s offering.

• 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)
• Extensive experience development in Python/C (minimum of 5 years)
• Research experience equivalent to M.Sc. thesis or greater.
• Experience in system or hardware architecture roles.

• 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.

We are passionate about building an inclusive and equitable working environment.

We promote a flexible work environment that encourages work-life balance. If you don't meet 100% of the requirements– no worries!

Our DNA is characterized by openness to multi-disciplinary people, who bring great potential to grow with us, not just a skills setlist.

We encourage you to apply if you think this role would excite you about coming to work every day.