Machine Learning Engineer Practitioner at VoiceOps
San Francisco, California, United States
🇺🇸 (Posted Jun 2 2018)
About the company
VoiceOps is the #1 AI platform for analyzing enterprise voice.
The richest data source about customers — their conversations — is the least accessible. Our mission is to provide easy access to customer conversations, and make voice data queryable. Our product analyzes the content of sales and support conversations and generates insights on phrases that maximize successful outcomes.
You’ll get to work with our massive dataset of perfectly transcribed and perfectly labeled human conversations and think deeply about how to get the most value out of it for our users. You’ll get to build features that our customers directly interact with every day, so if you’re looking for research-based roles, this is not a role for you.
Some projects you'd get to work on:
- optimizing our transcription engine efficiency
- figuring out which insights from calls are the most important to our users
- capturing customers’ objections on the call, etc.
Skills & requirements
You’ll get to make lots of product decisions that define our roadmap and experience first hand how your work is impacting our users.
You’ll be on of the first few employees and eventually will help lead the growing team.
You’ll get to start projects from scratch, design, implement, ship it to users, get their direct feedback, and iterate from there.
You’ll work very closely with the rest of our small but fast growing team.
Instructions how to apply
see the job site
[ job website
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