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Speech Recognition Engineer

Job Title: Speech Recognition Engineer
Contract Type: Permanent
Location: Los Altos
Industry:
Salary: $200,0000
Start Date: ASAP
REF: AAJR9495
Contact Name: Jason Rumney
Contact Email: jason@intelletec.com
Job Published: 5 months ago

Job Description

A leading SF Based Series A startup are rapidly growing their engineering team and looking for Speech Recognition expert.

 

My client are seeking an experienced Speech Recognition Engineer to help lead the development and deployment of new AI technology to solve challenging technical problems in processing collaborative voice conversations to join the technology team.

 

Members of the technology team work collaboratively as a group and with colleagues in engineering and product to devise and deploy new technologies for speech recognition, speaker separation, diarization, and speaker identification.

 

In the role you will:

  • Participate in the whole scope of our application development where you will be working closely with our team in the design and implementation of algorithms, tools and methodologies in speech research, voice interface design, application prototyping, and development of our proprietary speech recognition engine

  • Take part in extending and improving components of our speech understanding platform

 

Skills:

  • BS in CS or EECS

  • A very strong machine learning background with deep structured learning/hierarchical learning and statistical modeling techniques that can be applied to speech

  • Strong software engineering skills in one or more of the following: Java, Python, and C++

  • Solid experience with building automatic speech recognition systems that can be integrated in an information retrieval process  

  • Solid experience with Kaldi

  • Curiosity to seek and understand causes of error in AI models and proven ability to propose novel and creative solutions

  • Comfort in being part of a highly collaborative start-up environment with a tight team where you will be  involved in all aspects of the development: building infrastructure, data capture, and model training

 

Nice to Have:

 
  • Master's or PhD in relevant discipline is highly desirable, but others with strong academic backgrounds and equivalent experience are encouraged to apply