Machine Learning Engineer

Qualcomm Atheros is seeking a talented Machine Learning Engineer to join their team in Santa Clara. This role presents an exciting opportunity to work on cutting-edge machine learning and data modeling projects, with a focus on hardware implementation for edge devices. The position combines advanced ML expertise with practical deployment challenges, making it ideal for someone passionate about both theoretical ML and real-world applications.

The role involves developing and implementing various ML algorithms, including neural networks, autoencoders, and decision trees, while ensuring their efficient deployment on edge devices. You'll be working with cross-functional teams, conducting experiments, and driving innovation in ML applications.

The ideal candidate should possess advanced education in Computer Science or Electrical Engineering, with strong Python programming skills and experience with modern ML frameworks. Knowledge of Generative AI and hardware-aware ML models is particularly valuable. The position offers competitive compensation ($168,600 - $252,800) and comprehensive benefits including medical insurance, 401k, and equity opportunities.

Qualcomm provides a collaborative environment where you'll work alongside leading technology experts, with opportunities for continuous learning and professional development. The company's commitment to innovation in wireless technologies and AI makes this an excellent opportunity for someone looking to make a significant impact in the field of machine learning and edge computing.

This role offers the perfect blend of theoretical ML work and practical implementation, with the backing of a global technology leader. You'll be at the forefront of developing solutions that will shape the future of edge AI and mobile computing.