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Deep Learning Research Engineer (Qualcomm Research, Amsterdam)

Qualcomm Inc.


Date:
04/25/2018
2018-04-252018-05-25
Job Code:
1961573
Qualcomm Inc.
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Job Details

Job Title Deep Learning Research Engineer (Qualcomm Research, Amsterdam)
Jobid 1961573
Location: NLD
Job Description:
**Job Id**
E1961573
Job Title
Deep Learning Research Engineer (Qualcomm Research, Amsterdam)
Post Date
03/27/2018
Company
-
Division
Qualcomm Technologies, Inc.
-
Corporate Research & Development at http://www.qualcomm.com/about/research
Job Area
Engineering - Software
Location
Netherlands
Job Overview
Join Qualcomms research team in Amsterdam and apply your creative talent in a fast-paced, intellectually challenging environment to create best-in-class solutions for computer vision, speech processing, and video processing.
+ You will be part of a multi-disciplinary team of Machine Learning researchers and software developers in a world-class team including experts such as Prof. Max Welling.

+ Collaborate with researchers that have repeatedly won major deep learning competitions like the ImageNet large scale visual recognition challenge.

+ Work on campus at the University van Amsterdam and live in a scenic, vibrant city with high living standard, numerous cultural activities, and great outdoors nearby

+ See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.Your R&D work might include development of new fundamental methods in the following areas:

+ Compression and efficient computation techniques for speed and power efficiency

+ Bayesian deep learning for mission-critical risk assessment

+ Adversarial learning for robustness

+ Generalized equivariance for data efficiency

+ Reinforcement learning for behavioral planning and resource management

+ Active learning on massive datasets for training efficiency

+ Training at the edge for personalization and privacy
Minimum Qualifications
+ Experience in deep networks (CNN, DBN, RNN, LSTM, DCN) or reinforcement learning (RL)

+ Experience implementing DL/RL algorithms in high-level languages (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
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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