Software Engineer

Clarity is an AI cybersecurity startup, protecting against deepfakes and new social engineering and phishing attack vectors accelerated by the rapid adoption of Generative AI. Its patent-pending technology detects AI manipulations in videos, images and audio and authenticates media with encrypted watermarking. Clarity's AI DeepFake Firewall integrates into new and existing workflows, and enables publishers and intelligence agencies to verify sensitive media, financial institutions to prevent fraud, and enterprises to filter manipulated media and create an AI-Safe media environment — in a market that's growing at ~40% CAGR. Founded by AI and Cyber experts from 8200, Stanford, and Israel’s National Security Council, it is advised and backed by global leaders in the AI and cyber industries.We are looking for a Software Engineer to join our growing Engineering Team.

As a Software Engineer at Clarity, you will be hands-on in developing and deploying large scale systems, engaging in data engineering and software development.

Responsibilities

• Take ownership and collaborate on the software development initiatives for the companies infrastructure, systems and products
• Continuously optimising and enhancing our deep infrastructure
• Identifying and addressing bottlenecks and challenges within workflow
• Developing robust testing strategies independently, ensuring the reliability and accuracy of software components
• Independently contribute to the design and architecture of software components, ensuring scalability and adaptability
• Developing and implementing advanced robust data pipelines to support efficient data processing

Requirements

• 3+ years professional experience of software development
• Proficient Python skills, encompassing Object-Oriented Design and asynchronous execution
• Proficiency with containerization technologies and Kubernetes
• A solid foundation in backend Python frameworks such as Django, FastAPI, or Flask
• Strong teamwork skills and ability to collaborate and communicate effectively

Benefits

• BSc in Computer Science, Mathematics, Engineering or equivalent
• Prior experience in machine learning development
• Prior experience in computer vision and video data analysis
• Knowledge of distributed system architecture and frameworks, including Dask and Ray, is a plus
• Experience with Event-Driven and Data Pipeline architecture
• Prior experience in building internal tools