**Job Id** E1960249
**Job Title** Deep Learning Research Engineer (Qualcomm Research, San Diego)
**Post Date** 11/29/2017
**Company-Division** Qualcomm Technologies, Inc.
Corporate Research & Development at http://www.qualcomm.com/about/research
**Job Area** Engineering – Systems
**Location** 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)
+ 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.**
Who is Qualcomm, and what do we do? We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.