Algorithm Developer – REM Change Detection Team

You will be joining the REM Change Detection team, which builds state-of-the-art, AI-powered systems to keep our maps constantly updated at scale. You will design and implement deep learning engines that process massive amounts of crowd-sourced data to identify road and infrastructure changes rapidly and with high fidelity. By combining cutting-edge deep learning techniques, Graph Neural Networks, and efficient inference, you will solve dynamic, real-world perception challenges that power data-driven products for autonomous driving and beyond. What your job will look like: Own projects end-to-end—from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment. Process and analyze massive streams of crowd-sourced data to continuously improve model performance and resolve challenging edge cases in complex driving scenarios. Collaborate with algorithm developers, software engineers, product managers, and system teams across the organization. Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency. Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide. All you need is: B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. 1+ years of hands-on experience developing deep learning solutions using Python and frameworks such as PyTorch. Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals (Graph Neural Networks are an advantage). To be a strong team player who thrives in a collaborative environment and works effectively across different groups. Strong analytical skills and a profound sense of ownership.