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Machine Learning Engineer

2 months ago

San Diego, California, United States Qualcomm Full time
Job Summary

Qualcomm is seeking highly skilled Machine Learning/AI Engineering Interns to join our team and contribute to the development of cutting-edge technologies for next-generation mobile/embedded machine learning platforms.

Key Responsibilities
  • Design, develop, and test software for machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.
  • Collaborate with internal teams to build best-in-class solutions and tools needed to enable state-of-the-art technologies.
  • Work in a dynamic research environment with a multi-disciplinary team of researchers and software developers.
  • Participate in building neural network frameworks and understand the architecture of Qualcomm's SOC compute and ML HW accelerators.
Requirements
  • Currently enrolled in a bachelor's, master's, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field.
  • 1+ years' experience with programming languages such as C, C++, Python.
  • Must be available for 11 – 14 weeks during Summer 2025 (May-September) with a graduation date of December 2025 or later.
Preferred Qualifications
  • Proficiency in deep neural networks, machine learning algorithms, and architectures, including CNNs, RNNs, and LSTMs.
  • Experience with deep learning and machine learning frameworks like TensorFlow, TFLite, PyTorch.
  • Skills in neural network programming, video/image processing, and application development.
  • Knowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and parallel computing.
  • Understanding of mathematical operations in linear algebra and fast math libraries.
  • Theoretical knowledge of machine learning, deep learning, model compression, quantization, and optimization.
  • Experience with reinforcement learning, neural architecture search, kernel optimization, and Bayesian optimization.
  • Proficiency in on-device training, transfer learning, personalization, federated learning, NLP, and security and privacy in machine learning.
  • Experience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication.
  • Previous work on machine learning data pipelines, data management, and both backend and frontend applications.
  • A track record of research excellence with high-quality publications in conferences like NeurIPS, CVPR, ICML, ICLR, and ICCV.
  • Experience in object-oriented software design (OOSD).
  • Candidates currently enrolled in a Master's or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field.
  • Candidates actively pursuing a degree with an anticipated graduation within the upcoming year preferred Dec 2025 to June 2026.
What We Offer
  • Competitive hourly pay and accrued vacation time.
  • Relocation coverage and furnished housing accommodations for the duration of the internship.
  • Professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series.
  • Access to the entire Qualcomm employee community to ensure success.