Data Infrastructure Engineer — Scalable AI Datasets

Speechify

Orlando (FL)

On-site

USD 140,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Competitive salaries
Friendly and laid-back atmosphere
Opportunity to work on a life-changing product

Job summary

Speechify is hiring a skilled software engineer to join our AI team in Orlando, Florida. This role focuses on data collection for model training operations, requiring 5+ years in software development and strong skills in bash/Python, Docker, and GCP. The position offers a competitive salary between $140,000 and $200,000, along with bonuses and equity. Join us in shaping transformative audio products that support diverse learning needs.

Qualifications

  • 5+ years of industry experience in software development is required.
  • Proficiency with bash/Python scripting in Linux environments is necessary.
  • Experience with web crawlers and large-scale data processing workflows is a plus.

Responsibilities

  • Find new sources of audio data for ingestion.
  • Operate and extend the cloud infrastructure on GCP.
  • Collaborate with scientists to enhance data quality and scale.
  • Work on the AI team's dataset roadmap.

Skills

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 web crawlers and large-scale data processing workflows
Strong communication skills

Education

BS/MS/PhD in Computer Science or a related field

Tools

Docker
GCP

Job description

Speechify is hiring a skilled software engineer to join our AI team in Orlando, Florida. This role focuses on data collection for model training operations, requiring 5+ years in software development and strong skills in bash/Python, Docker, and GCP. The position offers a competitive salary between $140,000 and $200,000, along with bonuses and equity. Join us in shaping transformative audio products that support diverse learning needs.
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