Role Overview

Conducts applied research to develop and implement machine learning and AI solutions for real-world business problems. They bridge the gap between theoretical research and practical applications by designing novel algorithms and systems. Responsibilities include conducting applied research in machine learning, deep learning, and AI, developing new algorithms and models to solve complex problems, prototyping and implementing research ideas into production systems, publishing research findings and patents, and collaborating with engineering teams to deploy solutions at scale. They work with advanced ML/AI frameworks, statistical tools, and cloud computing platforms. Daily tasks involve researching state-of-the-art techniques, designing experiments, implementing and evaluating new algorithms, writing research papers, presenting findings to stakeholders, and mentoring junior scientists and engineers.