Data Scientist
Qualcomm Incorporated is a multinational semiconductor and telecommunications equipment company that develops and delivers semiconductors, softwares, and services related to wireless technology.
Seeking a machine learning engineering position which enables me to use my programming skills, strong industrial background in machine learning, algorithm development and signal processing • Data Scientist: Over 3 years of experience as a data scientist, experience with data analytics, machine learning methods, and feature extraction ✔ Design and implementation of machine learning algorithms such as neural network, decision tree, regressions and GMM in touchscreen applications ✔ Extensive experience in applying machine learning algorithms such as dimensionality reduction, ICA, PCA, … to biomedical data from Electro Encephalogram (EEG) ✔ Experience in applying supervised and unsupervised learning techniques on real state data, financial data, text recognition, academic scores, industrial quality assurance, environmental data ✔ Detailed experience in machine learning, Neural Networks, classification and pattern recognition, Support Vector Machine, regression methods, K-means clustering, anomaly detection, recommender systems, statistics, and modeling • Software/firmware engineer: Over 5 years of software/firmware experience on design, implementation, testing and verification of DSP firmware algorithms, design and optimization of interfaces with Hardware/software partitioning, RTOS and embedded task scheduling architectures (e.g., MIPS), communication protocols for physical layer devices and embedded systems ✔ Highly proficient in C, C++, RTOS, vast experience working with many general purpose microprocessors and microcontrollers such as MIPS ✔ Work with PHY/DSP firmware team and engage system algorithms group to provide real-time fixed-point implementation of algorithms for next gen. digital communication and line diagnostics products ✔ Strong knowledge of mobile wireless communication (Design, implementation, device architecture and optimization) and wireless systems such as LTE and CDMA
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