Senior Algorithms Engineer

Senior Algorithms Engineer Location: Remote Employment Type: Full-time About the Role Elad Systems is hiring a Senior Algorithms Engineer to join our team and work remotely for one of our clients. The client is an Israeli startup in the Video AI space, developing cutting-edge technologies for video analysis, processing, and automation. The company enables publishers and media organizations to automatically generate short clips from long videos, detect key highlights, and significantly improve audience engagement. We are looking for more than a traditional engineer — we are seeking an AI-augmented powerhouse who leverages tools such as Claude Code, Gemini, Cursor, and other AI-driven environments to maximize productivity and innovation. The Role Research & Innovation Design and develop Computer Vision and Machine Learning algorithms using Deep Learning, LLMs, and VLMs (Gemini, ChatGPT, open-source models) Research and prototype cutting-edge AI approaches Data Science & Analytics Analyze large-scale datasets to uncover patterns and behavioral insights Build predictive and behavioral models Architecture (Algo-Ops) Build scalable frameworks to integrate, debug, deploy, and maintain algorithms in cloud environments Ensure production-grade reliability and performance End-to-End Engineering Own backend, infrastructure, and DevOps environments powering AI systems Lead projects from research phase to production deployment Continuous Evolution Stay at the forefront of AI advancements Continuously evaluate and adopt new tools, models, and workflows Requirements M.Sc. in Computer Science, Electrical Engineering, or equivalent 8+ years of software development experience 4+ years of hands-on Python experience Expert-level proficiency in PyTorch and TensorFlow Deep expertise in video processing and Computer Vision Proven experience analyzing large-scale data and building predictive behavioral models Strong autonomy and ability to lead complex initiatives independently Passion for continuous AI learning and rapid technological evolution Advantages Experience with Generative AI Hands-on experience with Docker, Kubernetes, or Nomad