Deep Learning Researcher – ASR (Remote)

About the job

AssemblyAI (www.assemblyai.com) is the #1 rated API for Speech Recognition. Thousands of developers use our APIs to transcribe millions of videos, podcasts, phone calls, and zoom meetings every day – powering innovative products like visual voicemail, meeting summarizers, and closed captioning.

We’re backed by leading investors including Y Combinator, John and Patrick Collison of Stripe, Daniel Gross, and Nat Friedman. We were founded in 2017.

Responsibilities:

Our ASR models outperform big tech companies like Google, AWS, and Microsoft. That being said, there’s still a lot of work to do to match human level accuracy. Our Deep Learning team is a tight knit group of creative researchers and engineers, who are not afraid to try unconventional ideas. In this role, you’ll:

  • Work with large scale datasets to research and train Deep Learning models for Speech Recognition
  • Conduct research and experiments in order to improve accuracy of Deep Learning ASR pipelines like CTC, LAS and RNN-Ts
  • Dig into weaknesses and failure points of our current ASR models, in order to identify further areas for improvement
  • Work with the broader Speech Recognition team to publish papers on novel findings
  • Continually push the State of the Art in Speech Recognition to get to human level performance

Requirements:

  • 2+ years of Deep Learning experience
  • 2+ years experience with PyTorch or TensorFlow
  • 2+ years experience with C++
  • Experience with CUDA
  • Experience training large models on multiple GPUs

Preferred Skills:

  • Experience with ASR (can be experience from a PhD, Masters, or work experience)
  • Experience with fully Deep Learning based ASR systems (CTC, RNNT, Wav2Letter)

Benefits:

  • Competitive salary
  • Platinum healthcare
  • Dental care and vision
  • Unlimited PTO
  • Equity
  • Fully remote
  • $1k budget for home office equipment

 

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