Deep Learning Model Efficiency Research Engineer Full-time

Company:
Qualcomm Korea YH

Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Qualcomm AI Research is looking for world-class researchers and engineers in machine learning and deep learning. Come join a high-caliber team of engineers building advanced machine learning technology, on-device AI solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet) to enable state-of-the-art networks to run on devices with limited power, memory, and computation We are looking for talented researchers and engineers with experience in machine learning to enable embedded deep learning. We solve challenging problems to improve speed, accuracy, and power-consumption of deep neural networks. Your responsibility will be to apply our model efficiency tools on wide variety of use cases, provide detailed analysis, optimize algorithms, develop best practices and contribute to continuous evolution of model efficiency tools.

Required Skills:

• Bachelor’s degree in Engineering, Computer Science, or related field.

• Strong understanding of Machine Learning fundamentals, strong programming skills with ML frameworks
• Excellent analytical, development, and debugging skills.
• Excellent interpersonal, written and oral communications skills

Preferred Skills:

• MS or PhD in Computer Science/Engineering with 1+ years of professional experience or equivalent experience.
• 2+ years of proven experience in algorithm design and software development for machine learning; proficiency in designing, implementing and training DL/RL algorithms in high-level languages/frameworks (PyTorch and TensorFlow).
• Strong background in at least one of the following fields: Machine learning theory / optimization methods; Model compression / quantization / optimization for embedded devices; Neural Architecture Search / kernel optimization; Computer vision; Audio and speech / NLP
• Experience with improving efficiency of AI algorithms for deployment, including familiarity with open source solutions such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet)

Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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