AssemblyAI (S17)
#1 Speech-to-Text API for Developers

Generalist

Remote
Full-time
Any (new grads ok)
About AssemblyAI

AssemblyAI 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.

About the role

About us

AssemblyAI 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

We're a rapidly growing company, and are looking for a smart generalist to help us "fill the gaps". You'll help with a myriad of things, including:

  • Onboarding new team members
  • Account Management
  • Product Management
  • Contracts (getting set up in customer's AP systems, etc)
  • Helping to plan team offsites and meetups (we are a remote team)
  • Recruiting
  • Etc

This is basically a "jack of all trades" role - great for a former founder, or someone still figuring out which area they want to focus on. Ideally, you have a small sense of OCD about unorganized things/processes - and are excited about wearing multiple hats in a fast growing startup environment.

Apply

If you're interested in this role, please fill out the application form here: https://tinyurl.com/ynpebanu

Benefits

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

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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