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IBM is hiring for Research Scientist who has good experience in distributed/federated learning, deep learning, statistical machine learning and in Python / Java / C programming.
Experience in the following areas is advantageous:
Machine learning - distributed/federated learning, deep learning, statistical machine learning.
IoT analytics - sensor data mining, acoustics analysis, time series analysis.
Multi-modal fusion - machine learning over multi-modal data (imagery, audio, spatiotemporal).
Large scale systems design/implementation - big data platforms.
Python / Java / C programming.
Required Technical and Professional Expertise:
At least 2 years of experience with IoT systems and algorithms.
At least 2 years of experience in edge computing.
At least 2 years of experience in Machine learning.
Preferred Tech and Prof Experience:
Intermediate experience in distributed learning.
Experience with Big Data.
Experience Multi-modal sensing and fusion.
IBM is a global technology and innovation company headquartered in Armonk, NY. It is the largest technology and consulting employer in the world, with more than 375,000 employees serving clients in 170 countries. Just completing its 22nd year of patent leadership, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across six continents. Scientists from IBM Research have produced six Nobel Laureates, 10 U.S. National Medals of Technology, five U.S. National Medals of Science, six Turing Awards, 19 inductees in the National Academy of Sciences and 20 inductees into the U.S. National Inventors Hall of Fame. Today, IBM is much more than a hardware, software, services company. IBM is now emerging as a cognitive solutions and cloud platform company. Our work and our people can be found in all sorts of interesting places. IBMers are helping transform healthcare, improving the retail shopping experience, rerouting traffic jams and even designing the next generation fan experience in sports stadiums around the world. It's the kind of thing we've been doing for more than 100 years.
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