AssemblyAI (S17)

#1 Speech-to-Text API for Developers

Deep Learning Engineer - NLP

$150k - $200k0.10% - 0.25%

Location
 
Remote
Job Type
 
Full-time
Experience
 
3+ years
About AssemblyAI

At AssemblyAI, we use State-of-the-Art Deep Learning to build the #1 most accurate Speech-to-Text API for developers. We're backed by leading investors in Silicon Valley like Y Combinator, John and Patrick Collison (Stripe), Nat Friedman (GitHub), and Daniel Gross.

Customers use our API to transcribe phone calls, meetings, videos, podcasts, and other types of media. Our accurate transcripts are used to power features like visual voicemail, call analytics, closed captioning, meeting summaries, and a slew of other features.

We deploy our Deep Learning models into production to process millions of API requests per day.

About the role

Skills: Python, TensorFlow, Deep Learning

How to Apply

If you're interested in applying to this role, please fill out the application form here: https://forms.gle/1vMycsNfUdAtmwaaA

About AssemblyAI

At AssemblyAI, we use State-of-the-Art Deep Learning to build the #1 most accurate Speech-to-Text API for developers. We're backed by leading investors in Silicon Valley like Y Combinator, John and Patrick Collison (Stripe), Nat Friedman (GitHub), and Daniel Gross.

Customers use our API to transcribe phone calls, meetings, videos, podcasts, and other types of media. Our accurate transcripts are used to power features like visual voicemail, call analytics, closed captioning, meeting summaries, and a slew of other features.

We deploy our Deep Learning models into production to process millions of API requests per day.

About the Role

We are growing rapidly and looking for an experienced Deep Learning Engineer to join our Deep Learning Team, with a focus on NLP. You'll be leading the efforts on things like:

  • Improving Deep Learning Models for automatically punctuating and casing text
  • Researching and building Deep Learning models for various NLP tasks, such as NER, Summarization, Sentiment Analysis, and various types of text classification tasks
  • Coordinating and preparing datasets for training new models

We're a small, creative, and democratic team interested in pushing the state of the art forward.

Qualifications

  • 3-5+ years of experience with Python
  • 3+ years of experience training various NLP and NLU models with modern model architectures
  • 2+ years of experience with Deep Learning frameworks like PyTorch and TensorFlow
  • 2+ years of experience training distributed deep learning models on GPUs

Technology

All of our Deep Learning models are trained in PyTorch, on extremely large in-house datasets, across dozens of v100s in our dedicated training clusters.

For our production stack, we deploy everything into a modern Python micro-service architecture in AWS (Flask, Tornado, Docker, etc).

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