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发帖数: 382 | 1 Please email resume to a********[email protected] by 11/30/2011.
Opportunity Description
AOL R&D in Palo Alto, CA is looking for a talented Distributed
Computing Software engineer to join our Large Scale Analytics (LSA)
team. In this role, you are instrumental in transforming research
concepts into prototypes and software products. We value attitude,
aptitude, communication skills, and coding skills over experience with
specific languages and environments.
Large Scale Analytics (LSA) is primarily a research group with development
of prototypes to prove new and advanced data analysis algorithms. Team
member work with very large amount of data (2.5 - 3 billion records per day)
to help discover and prove new advanced data analytic algorithms for
surfacing unique methods for optimizing statistical model enabling
prediction and personalization analysis. The end goal is to improve online
advertising campaigns targeting thus maximizing revenues. In addition to
utilization of distributed computing technologies, proving newly developed
algorithms, work involves architecture and design to incorporate these new
algorithms into new products.
This position: Performs research and iterative prototyping with large scale
distributed computing and distributed database systems architecture;
Utilizes experience with distributed file systems, database architecture,
and data modeling to organize and process large data sets; Develops software
to support data mining projects and contextual analysis, such as crawling,
parsing, indexing, and unique content analysis;
Collaborates with scientists and analytics solution architects to design
distributed data storage and processing services that are scalable, reliable
, and available. Identify potential performance bottlenecks and scalability
issues to justify or critique the design of new algorithms; Assists
researchers with accessing and processing large amounts of data.
Requirement:
This is an exciting position that requires:
-
Research, analyze and convert large amount of raw collected data and content
into
new sets of data that is structured and does not reduce data context in
order to
enable the Productization of new products;
Work with data warehousing and distributed/parallel processing of large data
sets using parallel computing system to map/reduce computation and Linux
clusters (e.g.
Hadoop/Cloud technologies, HDFS); cluster;
Work with modern development methodology such as Agile, Scrum and SDLC;
Ability to work in a research oriented, fast pace, and highly technical
environment;
Knowledge in distributed system design, data pipelining, and implementation;
Knowledge and experience in building large scale applications using various
software
design patterns and OO design principles;
Expertise in design pattern (UML diagrams) and data modeling of large scale
analytic
systems;
Qualifications
Master’s degree in Computer Science;
Quick thinker and a fast learner;
Collaborative spirit;
Excellent communication and interpersonal skills;
At least 3 years of software development experience;
At least 2 years of experience working with distributed systems;
Experience with HTML, C++, Java, JavaScript;
Experience with either distributed computing (Hadoop/Cloud) or parallel
processing
(CUDA/threads/MPI); |
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