Machine Learning Engineer

Qualcomm, a global leader in wireless technology and semiconductor innovation, is seeking a talented Machine Learning Engineer to join their team in Santa Clara. This role presents an exciting opportunity to work at the intersection of machine learning and hardware implementation, focusing on cutting-edge ML solutions for edge devices.

The position requires expertise in neural networks, autoencoders, and decision trees, combined with practical knowledge of deploying ML models on edge devices. You'll be working with state-of-the-art technology and contributing to innovative solutions that push the boundaries of what's possible in edge computing and machine learning.

As a Machine Learning Engineer, you'll be responsible for developing and optimizing ML algorithms, conducting experiments, and collaborating with cross-functional teams to deliver high-quality solutions. The role offers exposure to various datasets and the chance to work on real-world applications of machine learning technology.

The ideal candidate should possess a strong academic background (Master's or PhD) in Computer Science or related fields, demonstrating proficiency in Python and modern ML frameworks. Experience with Generative AI and hardware-aware ML models is particularly valuable for this position.

Working at Qualcomm means joining a company at the forefront of technological innovation, with opportunities to work on projects that impact millions of devices worldwide. The position offers professional growth in a collaborative environment where you'll be challenged to solve complex problems and contribute to the future of edge AI technology.

This role would be particularly appealing for candidates who are passionate about the practical implementation of machine learning, especially in hardware contexts, and who want to work with a leading technology company that continues to shape the future of wireless technology and edge computing.