PhD Graduate AI & Algorithms Engineer (2026 start)

This position involves constructing intelligent systems and developing practical solutions for client challenges. Daily tasks include hands-on coding, training and testing models, and participating in agile ceremonies such as stand-ups and planning sessions. Engineers also contribute to internal research and development efforts, creating market-leading solutions and demonstrations based on current academic literature. The role requires a PhD in a relevant technical field, such as artificial intelligence, machine learning, computer science, mathematics, physics, or theoretical physics. Candidates must possess strong Python programming skills and an understanding of modern software development practices. Demonstrable research experience in a data-driven area is essential, evidenced by project work, conference proceedings, or published papers. While not mandatory, experience with information science, bioinformatics, reinforcement learning, transformer or diffusion models, robotics, or edge compute is viewed favorably. The job demands an interest in applying algorithmic techniques to real-world problems and the ability to communicate results to colleagues and clients. No specific language requirements are mentioned in the provided text. The working arrangement, including office, hybrid, or remote options, is not specified. This opportunity suits recent PhD graduates who wish to apply their academic expertise in a collaborative, mixed-discipline team environment.