Data Infrastructure & Acquisition Software Engineer

Speechify Inc.
Newark, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 200K

Job location

Remote
Newark, United States of America

Tech stack

Artificial Intelligence
Big Data
Cloud Computing
Software Engineering
Web Crawlers
Information Technology
Terraform

Job description

  • We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations
  • We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products

Requirements

Communication skills Collaboration and teamwork Linux Bash Terraform, * Ability to handle multiple tasks and adapt to changing priorities

  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • BS/MS/PhD in Computer Science or a related field
  • Strong communication skills, both written and verbal
  • 5+ years of industry experience in software development

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