Machine Learning/AI Software Intern (Start ASAP)

Your Role

Key responsibilities are as follows:  

• Develop end-2-end AI tools, models or software to run quantized neural network models .
• Design and develop end-to-end test strategies and frameworks for complex software systems.
• Create and maintain automated test suites.
• Develop debugging/profiling tools and Qualcomm SDK.
• Participate in code reviews and contribute to improving test coverage.
• Collaborate with cross-functional teams to understand requirements and design test approaches.
• Analyze test results and provide detailed feedback to development team.
• Conduct experiments to reproduce and optimize accuracies and performance of models.
• Related papers reading and summarization and presentation. 

About You

Ideal candidates will have:  

• Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, EE, or a related field.
• Experience in large language model (LLM), vision-language model (VLM), and large vision model (LVM), including diffusers, multi-modality, CNNs, RNN/LSTMs, Transformer, and others.
• Experience in Model quantization and compression, deployment in smartphones or other edge devices.
• Strong mathematical skills - good foundations of linear algebra, matrix, differential algebra, statistics.
• Have strong skill in C++ and Python programming.
• Experience in machine learning/deep learning algorithms and architectures, including CNNs, RNN/LSTMs, Transformer, LVM, LLM.
• Hands-on experience with ML frameworks, such as TensorFlow, PyTorch and Onnx Runtime.
• Have knowledge in on-device AI models deployment is a plus.
• Have knowledge in llama.cpp or ExecuTorch is a plus.
• Have knowledge in Qualcomm SNPE/QNN SDK is a plus.

Benefits

Qualcomm offers competitive compensation, health benefits, and opportunities for professional growth.

Training & Development  

Access to continuous learning programs, mentorship, and development opportunities to enhance your skills.

Career Progression 

Potential for growth into full-time roles within Qualcomm's AI research and development teams.