Senior Applied Scientist

Company Description

Truelogic AI Ltd builds AI systems that fuse multilayered knowledge graphs with advanced reasoning agents to analyze and understand complex domains with scholarly-level precision. These systems provide rich contextual layers that enable AI agents to interpret their environment and make well-informed decisions. The company’s technology is designed for use in scientific research and corporate settings where traditional LLMs need deeper domain understanding. By focusing on advanced reasoning and structured knowledge, Truelogic AI aims to push the boundaries of AI-driven analysis, decision-making, and discovery.

Role Description

As a Senior Applied Scientist at Truelogic AI Ltd, you will design, implement, and evaluate AI models that integrate knowledge graphs and reasoning agents to solve complex, real-world problems. You will work closely with cross-functional teams to develop and refine algorithms for pattern recognition, data analysis, and contextual understanding in scientific and corporate domains. Daily responsibilities include conducting rigorous research, prototyping and testing new methods, analyzing experimental results, and translating findings into production-ready solutions. You will also mentor team members, contribute to technical strategy, and collaborate on publications or internal reports. This is a full-time, on-site role based in Tel Aviv-Yafo.

Qualifications

• Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
• Expertise in Statistics and Data Science for modeling, hypothesis testing, and quantitative analysis.
• Proficiency in Pattern Recognition and applied machine learning techniques for complex data and signal analysis.
• Demonstrated Research experience in AI, machine learning, or related fields, including designing experiments and publishing or presenting results.
• Advanced programming skills in languages commonly used in AI (e.g., Python) and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Experience working with knowledge graphs, reasoning systems, or graph-based machine learning is highly beneficial.
• Ability to collaborate effectively in multidisciplinary teams and communicate complex technical ideas clearly.
• Graduate degree (MSc or PhD) in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline, or equivalent practical experience.