AsperaLabs is a team of scientists and engineers within the Aspera team dedicated to understanding and developing solutions for the basic problems associated with large data, including access, analysis, visualization and transport. The team collaborates with academia, Aspera technology partners, and customers to carry out basic research that advances the state of art, and also benefits the operational capabilities and product excellence for Aspera.
The Big Data team of AsperaLabs is focused on solving fundamental problems around the analysis and large-scale visualization of large data sets. At Aspera the problem space ranges from analysis of data associated with transfer performance and network utilization, to product and customer usage patterns and troubleshooting patterns, to large scale market analysis, to time-series machine learning and modeling. We are interested in collaborations with fellow researchers and partners to develop advanced algorithms, approaches, methodologies and systems to capture, analyze and visualize the information.
Aspera currently has an opportunity for a Data Analytics Engineer in our Emeryville, CA office. This role will focus on big data architectural problems in the Hadoop Ecosystem creating new architectures for logging and metadata processing for real-time analysis and visualization.
•Create new data processing pipelines using statistical and machine learning techniques and applying open technologies (Apache HDFS, Spark/MapReduce, Redis, etc.);
•Develop Machine Learning models for time-series analysis and performance prediction;
• Perform data analysis, feature extraction and modeling of time-series data, focused on signal processing;
• Assist in the research and development of the next generation performance automation test suites.
A little about us:
IBM is the world’s largest information technology company with more than 360,000 employees serving clients in 170 countries.