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Deep Learning Research Engineer (Qualcomm Research, San Diego)

Qualcomm Inc.

San Diego, CA
Job Code:
Qualcomm Inc.
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Job Details

Job Title Deep Learning Research Engineer (Qualcomm Research, San Diego)
Jobid 1960249
Location: San Diego, CA, 92108, USA
Job Description:
**Job Id**
Job Title
Deep Learning Research Engineer (Qualcomm Research, San Diego)
Post Date
Qualcomm Technologies, Inc.
Corporate Research & Development at
Job Area
Engineering - Systems
California - San Diego
Job Overview
Qualcomm Research is looking for world-class researchers in machine learning/deep learning. Come join a high-energy team of engineers building best-in-class solutions for computer vision, speech processing and video processing. You will be part of a multi-disciplinary team in a world-class team that has repeatedly won the major deep learning competitions, such as the ImageNet large scale visual recognition challenge. Collaborate with cross-functional teams spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.

The R&D work responsibility can include the development of new fundamental methods in the following areas

+ Research minimal computation techniques to for speed and power efficiency

+ Bayesian deep learning for mission-critical risk assessment

+ Adversarial learning for robustness

+ Generalized equivariance for data efficiency and model robustness

+ Reinforcement learning for behavioral planning and resource management

+ Active learning on massive datasets for training efficiency

+ Training at the edge for personalization and privacy
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications
3+ years in the following areas required:
+ Experience in deep networks (CNN, DBN, RNN, LSTM, DCN) or reinforcement learning (RL)

+ Experience implementing DL/RL algorithms in high-level languages/packages (e.g. C++, Java, MATLAB, or Python)

+ Experience with classification and regression algorithms (e.g. SVM, MLP)
Preferred Qualifications
+ Strong understanding of machine learning algorithms & principles, and numerical optimization

+ Experience using machine learning toolboxes (e.g. Caffe, TensorFlow, or PyTorch)

+ Experience implementing machine learning algorithms on embedded platforms

+ Track record of research excellence and high quality publications

+ Knowledge of application areas, such as computer vision or speech analysis
Education Requirements
Required: Master or PhD degree with a focus on deep learning and/or computer vision.
EEO employer: including race, gender, gender identity, sexual orientation, disability & veterans status.

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