Senior Software Engineer
Data Acquisition
Confirmed live in the last 24 hours
Speechify

51-200 employees

Text-to-speech app for enhanced productivity and learning
Company Overview
Speechify, a global text-to-speech application, offers a unique blend of technical innovation and a culture of empowerment. The company's advanced TTS technology, developed by a diverse team of industry veterans from companies like Snapchat, Apple, Spotify, Amazon & Uber, provides an accessible solution for individuals with learning differences, students, professionals, and anyone seeking to improve their productivity. With a leadership that prioritizes ownership, speed, and learning, Speechify has positioned itself as an industry leader, powering platforms like Medium and the Star Tribune, and making reading a more inclusive and efficient experience for millions of users worldwide.
AI & Machine Learning
Consumer Software
Education

Company Stage

Series A

Total Funding

$10M

Founded

2017

Headquarters

,

Growth & Insights
Headcount

6 month growth

14%

1 year growth

38%

2 year growth

61%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Bash
Python
Docker
Linux/Unix
Data Analysis
Google Cloud Platform
CategoriesNew
Software Engineering
Requirements
  • BS/MS/PhD in Computer Science or a related field
  • 5+ years of industry experience in software development
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts
  • Experience with at least one major Cloud Provider (GCP)
  • Strong communication skills, both written and verbal
Responsibilities
  • Finding new sources of audio data and bringing it into the ingestion pipeline
  • Operating and extending the cloud infrastructure for the ingestion pipeline
  • Collaborating with Scientists to deliver richer data at bigger scale and lower cost
  • Crafting the AI Team’s dataset roadmap to power next-generation products
Desired Qualifications
  • Experience with web crawlers and large-scale data processing workflows