Qualcomm Machine Learning Engineer

In partnership with our engineering leadership, we’re piloting an internal talent marketplace where various ML/DL tasks are posted. Zeyu Feng. 13 open jobs.

Onze excuses voor het ongemak. These needs range from getting up and running with TensorFlow/Caffe to training simple models to developing a deeper understanding of the math required for creating new algorithms for areas like autonomous driving and computer vision.Our next step was to evaluate various external ML training vendors. Machine Learning Engineer at Qualcomm. That’s why doing this analysis to develop talent “at home” is so critical. Our employees also have access to curated ML/DL content from online educators, like Udacity, Coursera, and LinkedIn Learning (formerly Lynda.com), to supplement their learning.

Engineer at Qualcomm (Machine Learning) India 397 connections. Join to Connect. Opting in to these tasks provides engineers with access to an experienced mentor, while providing hands-on experience that allows them to become familiar with internal tools and processes. Qualcomm products mentioned within this post are offered by Qualcomm Technologies, Inc. and/or its subsidiaries.Opinions expressed in the content posted here are the personal opinions of the original authors, and do not necessarily reflect those of Qualcomm Incorporated or its subsidiaries ("Qualcomm"). experience with Python, linear algebra, and ML frameworks like TensorFlow, Caffe, etc). Free interview details posted anonymously by Qualcomm interview candidates. Activity. We’re currently working with a select few to develop and deploy these programs to our global R&D centers in China, Europe, India, and the U.S., and we’re continuing to look for additional interested parties. IIIT Hyderabad. eine E-Mail an We’re working aggressively to build teams with deep learning (DL) expertise for our computer vision, autonomy, and GPU groups as well as acquiring companies, like artificial intelligence (AI) research company Here’s a look at what we’re doing to cultivate AI expertise in our own backyard:The first step in this strategic learning initiative was for HR to partner with engineering leads to deconstruct ML in terms of relevant core skills and capabilities (e.g. réseau internet. We then aggregated and mapped relevant skill clusters to discrete engineering roles and responsibilities (e.g.

continuez à voir ce message, veuillez envoyer un email à Over 1,000 of our engineers have gone through this developmental program in the last nine months, allowing our engineers to start learning and deploying ML based on their team’s specific needs. que vous êtes une vraie personne. Finally, we used an internal skills assessment process to calibrate these requirements with existing capability and discern specific areas where there were skill and competency gaps.This analysis formed the basis of our custom technical training and developmental program. Georgia Institute of Technology. This site may also provide links or references to non-Qualcomm sites and resources. 85 open jobs. experience with Python, linear algebra, and ML frameworks like TensorFlow, Caffe, etc). If you continue to see this message, please email View profile View profile badges Get a job like Aasheesh’s.

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