Deep Learning Model Efficiency Engineer

Company: Qualcomm Technologies, Inc.
Location: San Diego, California, United States
Type: Full-time
Posted: 20.JUL.2021

Summary

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringJob Overview:Qualcomm is a co...

Description

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringJob 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.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, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center's AI Model Efficiency Toolkit () to enable state-of-the-art networks to run on devices with limited power, memory, and computation.We are looking for talented test/integration 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. 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. 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. Your responsibility will be to apply our model efficiency tools on wide variety of use cases, develop best practices, provided detailed analysis 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.Excellent interpersonal, written and oral communications skillsPreferred 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 designProficiency 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)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 ()Applicants: If you are an individual with a 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 to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.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.If you would like more information about this role, please contact Qualcomm Careers.

 
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