Software Engineer, AI Data

Speechify

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 5h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 5 hours ago · apply link checked 1 hour ago

About the role

Responsibilities

  • Discover new sources of audio data and build reliable pipelines for training datasets
  • Build and improve large-scale data-processing systems for quality, throughput, and cost
  • Collaborate with AI Scientists to improve training datasets and next-generation models
  • Own engineering projects from problem discovery through implementation and improvement

Requirements

  • Computer Science degree or equivalent practical experience
  • 5+ years professional software engineering experience with strong backend fundamentals
  • Proficiency in Python and Bash in Linux environments
  • Experience building and operating production data pipelines or large-scale data processing
  • Strong problem-solving and ability to work independently in ambiguous environments

Preferred Qualifications

  • Experience with web crawlers, data acquisition, or distributed data-processing systems
  • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform
  • Familiarity with ML training data, dataset quality, or audio processing

Benefits

  • Competitive compensation and autonomy in a fully distributed, asynchronous culture
  • Opportunity to impact a product that helps people with learning differences

About the Company

  • Speechify makes text-to-speech reading products used by over 50 million people. The company is 100% distributed with nearly 200 employees worldwide.

What we look for

  • Computer Science degree or equivalent practical experience
  • 5+ years professional software engineering experience with strong backend fundamentals
  • Proficiency in Python and Bash in Linux environments
  • Experience building and operating production data pipelines or large-scale data processing
  • Strong problem-solving and ability to work independently in ambiguous environments
  • Experience with web crawlers, data acquisition, or distributed data-processing systems
  • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform
  • Familiarity with ML training data, dataset quality, or audio processing
PythonLinuxTerraformGCPDistributed SystemsBashData Engineering
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