What are the most common challenges faced by algorithm engineers when optimizing code for large-scale systems?

Algorithm engineers often encounter challenges such as balancing computational efficiency with accuracy, managing memory constraints, and ensuring scalability as data volumes grow. Working with large-scale systems frequently involves optimizing algorithms to reduce latency and resource consumption while maintaining reliability. Collaboration with software engineers and data scientists is key to integrating solutions seamlessly into production environments and addressing real-world constraints.