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Machine Learning

1 month ago

San Diego, United States Qualcomm Full time

Before there were smartphones or smart cities, before autonomous cars or 360 virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm’s inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality. You’re bringing skills. We’ll provide the environment and the experience to push your limitless potential. Join us for our U.S. 2024 summer intern class 

Artificial Intelligence is changing the world for the benefit of human beings and societies. AI is moving from cloud to the edge devices. Qualcomm, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices. As a Machine Learning/AI Engineering Intern you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for smart phones, autonomous vehicles, robotics and IOT devices. In this role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software developers, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC compute and ML HW accelerators. You will design, develop & test software for machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.

Minimum Qualifications

  • Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field 

  • Must be available for 11 – 14 weeks during Summer 2024 (May-September) with a graduation date of December 2024 or later

Successful candidates will have experience in one or more of the following Machine Learning/AI Technical Tracks:

MACHINE LEARNING/AI SOFTWARE

  • Programing in C/C++, Python

  • Experience in OOSD (Object Oriented SW Design)

  • Experience in machine learning algorithms and architectures, including CNNs, RNN/LSTMs

  • Hands-on experience with ML frameworks, such as TensorFlow or PyTorch

  • Previous experience working on machine learning data pipelines and data management back end or front end applications

  • Deep Learning, Machine Learning frameworks: TensorFlow, TFLite, PyTorch, etc.

  • Neural network, computer programming, video processing, image processing, app dev

  • Experience with compiler frameworks such as LLVM or GCC

  • Familiarity with any of the deep learning compiler frameworks TVM, Glow or XLA

  • Mathematical operations: linear algebra, fast math libraries

MACHINE LEARNING/AI SYSTEMS

  • Programming in Python

  • Machine learning theory / optimization methods , deep learning, model compression / quantization / optimization

  • Reinforcement Learning, Neural Architecture Search / kernel optimization, Bayesian Optimization

  • Deep neural networks (CNN, RNN, Attention)

  • On-device training / transfer learning/ personalization / federated learning / NLP, Security and Privacy in Machine Learning

  • Learned optimization, deep Generative Models (VAE, Normalizing-Flow, ARM)

  • Audio and speech / NLP (e.g., BERT) / computer vision / wireless communication/ Wireless Domain ML

  • Proficiency in designing, implementing and training DL/RL algorithms in high-level Languages/frameworks (e.g. PyTorch, TensorFlow, Caffe, Keras). 

  • Machine learning theory / optimization methods , deep learning, model compression / quantization / optimization, Reinforcement Learning, Neural Architecture Search / kernel optimization, Bayesian Optimization, Model optimizations

  • Track record of research excellence and high-quality publications (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV)

Qualcomm’s Internship Program

Our interns join world-class teams to help define and build what is next for mobility and the world.  You’ll be paired with a mentor with visibility to your project and team, receive support from your manager, and have access to the entire Qualcomm employee community to ensure your success. To round out your summer internship, we host professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series. In addition to competitive hourly pay and accrued vacation time, you will receive relocation coverage and furnished housing accommodations for the duration of your internship. 

When applying, you can specify which technical track(s) you would like to be considered for.  By applying here, you are expressing interest in one of our many 2024 Qualcomm Machine Learning/ AI Engineering internships. It’s important to note that this is not a job posting for a specific role. We will review resumes on an ongoing basis and a recruiter may reach out to you.