סקירה כללית
^^משרה זו נלקחה מ Career^^ThetaRay provides AI
• driven anti
• financial crime technology used by global banks and fintechs to detect money laundering and financial crimes. Our Israel office is a key R&D hub where engineering, data, and research teams work together to build scalable, production
• ready systems that power ThetaRay’s platform. We are looking for an Algorithm Researcher to join our team in Israel and help build the next generation of AI
• driven financial crime detection. In this role, you will work at the intersection of research, mathematics, and advanced AI, turning complex theoretical concepts into scalable, production
• ready algorithms. You will solve high
• dimensional real
• world problems and contribute directly to mission
• critical systems used by leading financial institutions worldwide. Technology: Python, NumPy, SciPy, Pandas, PyTorch / TensorFlow, LLMs, RAG, vector databases, large
• scale data processing What you’ll work on: Designing and developing advanced algorithms for complex financial crime detection challenges Translating mathematical models and research concepts into scalable production systems Building and optimizing ML and LLM
• based solutions for real
• world deployment Working with transformers, attention mechanisms, sequence modeling, and representation learning Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks Designing AI agents, tool
• using LLM architectures, and autonomous decision
• making pipelines Improving model accuracy, robustness, explainability, and inference efficiency Collaborating with engineers, data scientists, and domain experts to bring research into production Requirements MSc or PhD in Physics, Applied Mathematics, Computational Mathematics, Statistics, or a related quantitative field 3+ years of experience in algorithm development, quantitative research, or advanced AI roles Strong background in linear algebra, probability theory, stochastic processes, optimization, numerical methods, and statistical modeling Proven experience turning mathematical concepts into robust algorithms Deep understanding of modern deep learning architectures, including transformers, attention mechanisms, sequence modeling, and representation learning Hands
• on experience with PyTorch or TensorFlow Experience building, fine
• tuning, optimizing, or deploying LLMs Familiarity with RAG, embedding models, vector databases, prompt engineering, and evaluation frameworks for generative AI Expert
• level Python skills, including NumPy, SciPy, and Pandas Strong understanding of algorithm design, complexity analysis, data structures, and large
• scale data processing Experience building AI
• based systems in production Strong communication skills and the ability to explain complex concepts to both technical and business stakeholders Advantages Background in signal processing, dynamical systems, or computational physics Experience with graph algorithms, anomaly detection, risk modeling, or information retrieval Experience with model optimization, quantization, or distillation Proven publication record
דרישות המשרה
MSc or PhD in Physics, Applied Mathematics, Computational Mathematics, Statistics, or a related quantitative field 3+ years of experience in algorithm development, quantitative research, or advanced AI roles Strong background in linear algebra, probability theory, stochastic processes, optimization, numerical methods, and statistical modeling Proven experience turning mathematical concepts into ro
