ML Engineer - Networks Team

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

Hailo's Machine Learning team is at the forefront of enabling and optimizing high-performance deep learning applications on edge devices. We are looking for a versatile and highly motivated Machine Learning Engineer with a strong R&D background to join our team.

This role requires a solid mathematical foundation, a passion for AI research, and the ability to quickly adapt to new technologies. You should feel comfortable reading and implementing academic papers while also being deeply system-oriented—able to dive into hardware architecture, software toolchains, and customer applications as needed.

At Hailo, developing and deploying deep learning models is software-intensive, and candidates are expected to have strong programming skills in scientific computing. As an AI chip company, we highly value software-hardware integration skills, as our ultimate goal is to ensure seamless optimization for our processors.

Beyond technical expertise, we are looking for candidates who demonstrate:

• Ownership and accountability – taking initiative and responsibility for driving projects to completion.
• Professionalism – delivering high-quality work while staying up to date with the latest advancements in AI.
• Teamwork – collaborating effectively across teams to integrate AI solutions into real-world applications.

We encourage intellectual curiosity and a keen interest in exploring AI trends, discussing future directions, and staying informed about market developments. Candidates should enjoy working in an open, well-documented manner and be eager to present their work to peers and stakeholders.

• Develop and optimize Transformer-based and Generative AI models for deployment on Hailo’s edge AI processors.
• Stay at the forefront of Generative AI and NN computer vision research, driving innovation in edge AI applications.
• Benchmark and enhance vision and generative models, ensuring seamless integration with Hailo’s AI toolchain, through our Hailo Model Zoo.
• Collaborate with architecture and other software teams to co-optimize models for Hailo’s unique processing architecture.
• Support and engage with tier-1 customers, guiding them in deploying and optimizing their AI models on Hailo’s platform.

• M.Sc. in CS, EE, Mathematics, or Physics.
• 5+ years of R&D experience with a strong track record of technical excellence and leadership.
• Expertise in deep learning model development and optimization, with a preference for experience in Transformer-based (Generative AI) models.
• Strong programming skills and experience designing simulation environments for algorithm validation.
• Ability to analyze complex systems, read academic literature, and apply research insights.
• Experience in system architecture or hardware-aware AI model optimization.
• Excellent problem-solving, communication, and collaboration skills.

• Experience in Generative AI model development and inference.
• Knowledge of model optimization techniques such as quantization and pruning.
• Familiarity with hardware-aware neural network design and deployment.

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 set list. We encourage you to apply if you think this is a role that would make you excited about coming to work every day.