Research Scientist (Combinatorial Optimization & Edge AI)

We are seeking a highly motivated and innovative Research Scientist with a strong background in statistics, signal processing, and information theory to join our team focused on solving complex problems at the intersection of algorithm design, neural network optimization, and edge AI. You will play a key role in developing cutting-edge algorithms for NP-hard combinatorial problems, compressing and optimizing neural networks for resource-constrained edge devices. This is a unique opportunity to contribute to both theoretical advancements and real-world applications of AI.

Responsibilities
Develop novel techniques for neural network quantization, pruning, and compression to enable efficient deployment on edge devices.
Design and analyze algorithms for NP-hard combinatorial optimization problems, with a focus on applications in AI and machine learning.
Collaborate with engineering and software teams to integrate research findings into product.
Stay abreast of the latest research in relevant fields and publish findings in top-tier academic conferences and journals.