Redfish Technology
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http://www.redfishtech.com
http://www.redfishtech.com
Speech Recognition Engineer
Los Altos, CA
Posted: 09/05/2018
2018-09-05
2020-08-11
Industry: Software Engineer
Job Number: 23308
Job Description
Category : Software Engineer
Location/City : CA - Los Altos
Area Code : 408
Job Type : 1: Full Time
Country/Locale :
Id : 23308
#23308 Speech Recognition Engineer- AI StartupLocation: Los Altos, CA 94022Company:Founded by startup veterans and backed by some of Silicon Valley's leading investors, our client is building a technology to digitize all verbal communication. The product they've created captures spoken word and converts it to text and they make this text searchable and easy to analyze.23308 Speech Recognition Engineer- AI StartupLocation: Los Altos, CA 94022Company:Founded by startup veterans and backed by some of Silicon Valley's leading investors, our client is building a technology to digitize all verbal communication. The product they've created captures spoken word and converts it to text and they make this text searchable and easy to analyze.Job Opportunity:We are seeking an experienced Staff Speaker Identification Engineer to join our technology team and solve challenging technical problems in processing collaborative voice conversations. Members of the technology team work as a group and with colleagues in engineering and product to devise and deploy new algorithms for speech recognition, speaker diarization, and recognition.Minimum qualifications
-M.S. in Computer Science or equivalent.
-Strong programming skills with working knowledge of C++ and Python.
-3 years of experience working on DNN based speaker id and diarization system.
-Experience with TensorFlow, PyTorch, or similar frameworks.
-Experience working in a Linux environment.
-Team player with good communication skills (oral and written).Preferred qualifications
-Ph.D. in Computer Science, Speech/Language Processing or Machine Learning.
-Familiarity with the state of the art in deep learning.
-Experience with end-to-end neural network based speaker recognition.
-Experience with MapReduce, Spark, or similar frameworks.
-Experience building crawlers.
-Experience administering Linux clusters.
-Experience developing web applications.
Location/City : CA - Los Altos
Area Code : 408
Job Type : 1: Full Time
Country/Locale :
Id : 23308
#23308 Speech Recognition Engineer- AI StartupLocation: Los Altos, CA 94022Company:Founded by startup veterans and backed by some of Silicon Valley's leading investors, our client is building a technology to digitize all verbal communication. The product they've created captures spoken word and converts it to text and they make this text searchable and easy to analyze.23308 Speech Recognition Engineer- AI StartupLocation: Los Altos, CA 94022Company:Founded by startup veterans and backed by some of Silicon Valley's leading investors, our client is building a technology to digitize all verbal communication. The product they've created captures spoken word and converts it to text and they make this text searchable and easy to analyze.Job Opportunity:We are seeking an experienced Staff Speaker Identification Engineer to join our technology team and solve challenging technical problems in processing collaborative voice conversations. Members of the technology team work as a group and with colleagues in engineering and product to devise and deploy new algorithms for speech recognition, speaker diarization, and recognition.Minimum qualifications
-M.S. in Computer Science or equivalent.
-Strong programming skills with working knowledge of C++ and Python.
-3 years of experience working on DNN based speaker id and diarization system.
-Experience with TensorFlow, PyTorch, or similar frameworks.
-Experience working in a Linux environment.
-Team player with good communication skills (oral and written).Preferred qualifications
-Ph.D. in Computer Science, Speech/Language Processing or Machine Learning.
-Familiarity with the state of the art in deep learning.
-Experience with end-to-end neural network based speaker recognition.
-Experience with MapReduce, Spark, or similar frameworks.
-Experience building crawlers.
-Experience administering Linux clusters.
-Experience developing web applications.