Pindrop Security is looking for high-performing software developers. Pindrop Developers are faced with cutting-edge challenges, including architecting and implementing systems of scale that handle large amounts of call audio. We work extensively in signal processing, machine learning and massively distributed computing.
Pindrop Security provides solutions to protect enterprise contact centers and employees against fraud and phone spam as well as providing authentication and reputation checking. Pindrop’s phone printing technology detects fraudulent calls and authenticates legitimate callers, helping customers eliminate financial losses and reduce operational costs. Pindrop’s breakthrough technology is the first of its kind to fingerprint individual phone calls, providing verification of caller provenance. Named SC Magazine 2013 Rookie Security Company of the Year, a Gartner “Cool Vendor” in Enterprise Unified Communications and Network Services for 2012 and one of the 10 Most Innovative Companies at the 2012 RSA conference, Pindrop Security’s solutions restore enterprises’ confidence in the security of phone-based transactions.
A Signal Processing Software Developer will be responsible for creating algorithms that analyze a massive number of audio files, extract interesting forensic information and work on real problems of phone based fraud. This is an excellent opportunity to work for a cutting-edge information security startup in an environment that fosters innovation, supports learning, recognizes style, and rewards effort.
An ideal candidate will have knowledge of:
Audio signals and analysis
Speech signals and analysis
Telephony/VoIP standards, codecs
Speaker recognition, identification, verification
Significant experience coding algorithms in C++ and MATLAB
Machine learning knowledge is a significant plus
Fluent in at least one scripting language (Python preferred)
Competent Linux command line user
Working knowledge of a data analysis tool (MATLAB preferred)
Working knowledge of telephony and/or VoIP standards and codecs
Experience with machine learning (Weka, scikit-learn, etc.)
Experience with Intel IPP
Speaker recognition, verification, identification
Bachelors, Masters, or Ph.D. in Electrical Engineering