SPEAKER IDENTIFICATION ENGINEER (SPEECH TO TEXT STARTUP)

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Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

About our Client

Join our client in transforming the way remote teams work and communicate.  Their AI-powered collaborative note-taking app works across Zoom, Google Meet, and Microsoft Teams to help teams record, transcribe, search and share meeting notes.  In addition, we are making virtual meetings accessible to all employees - allowing team members with disabilities to participate in a world that is now dominated by virtual meetings.

With over 10M users experiencing their product, they are making an impact at scale and we are growing fast.  The team is made up of top talent from companies like Google, Facebook, Yahoo!, Microsoft, Pinterest, Spotify, and Plaid.  They are backed by leading investors that include David Cheriton (Google’s first investor), Tim Draper (Draper Associates), Spectrum Equity, Horizons Ventures, GGV Capital, and Duke University.

About this role

Our client is seeking an experienced Speaker Identification Engineer (Junior | Senior | Staff) 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.

Qualifications

  • M.S. in Computer Science or equivalent
  • Strong programming skills with working knowledge of C++ and Python
  • 1-3 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)Qualifications

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

Employee Benefits

  • Stock. Be a [literal] stakeholder in our company’s future.
  • Food. Enjoy catered meals and boundless snacks.
  • Fun. We host team lunches weekly and team events bi-quarterly.
  • People. Work with talented, collaborative, and friendly people who love what they do.
  • Health and Saving. Receive the benefits of comprehensive health, dental, vision and disability insurance.

Base Salary Range

  • 150K-230K