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Qualcomm Machine Learning Evaluation Engineer– Qualcomm Research in Seoul, South Korea

Company:

Qualcomm Korea YH

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Qualcomm Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary:

Qualcomm AI Research is looking for talented machine learning algorithm evaluation engineers with experience in machine learning to enable embedded deep learning. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class 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 solve challenging problems to improve speed, accuracy, and power-consumption of deep neural networks. We optimize state-of-the-art networks to run on mobile platforms in real-time through advanced quantization and compression techniques, and cover a variety of deep learning technology areas, e.g. deep generative models, Bayesian deep learning, equivariant CNNs, adversarial learning, active learning, Bayesian optimizations, reinforcement learning, unsupervised learning, graph NNs, and attention/transformers.

Responsibilities:

As ML evaluation engineer, you will work with world-class engineers at Qualcomm Research to evaluate ML software tools and algorithms to ensure they meet quality standards. As a member of our team, you will get a chance to learn latest cutting-edge technologies in machine learning and new emerging applications and participate in each step of the development process and drive quality improvements.

You’ll collaborate with members of the software teams and plan a comprehensive evaluation approach. You will work with a small team of engineers to implement the evaluation strategy, deciding key performance metrics (KPIs), developing automation, and performing qualitative tests.

You will be responsible for developing a deep understanding of the ML algorithms developed in the project. You will apply tools and algorithms on wide variety of use cases, develop best practices, provide detailed analysis, extend research, and identify areas for further optimization.

Required Skills:

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

  • Great at software development with excellent analytical, development, and debugging skills.

  • Strong understanding of Machine Learning fundamentals.

  • Knowledge of machine learning libraries such as TensorFlow, PyTorch is essential.

  • 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 software development for machine learning or high-performance computing with strong programming skills in Python and software design

  • 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; Deep Generative Models (VAE, Normalizing-Flow, ARM, etc); Transformer networks.

  • 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 )

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

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If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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