Software Engineer - AI Data Pipelines

Speechify

United States

Remote

USD 120,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
Welcoming atmosphere
Asynchronous work

Job summary

Speechify is hiring a Software Engineer - AI Data to join its distributed AI team. You will build data pipelines powering model training and scalable AI products, working across data engineering, infrastructure, and research to create high-quality datasets at petabyte scale.

You will collaborate with AI scientists to improve training datasets, own engineering projects end-to-end, and help design systems that make AI training more efficient and scalable in a fully remote environment.

Qualifications

  • Degree in Computer Science or related field or equivalent practical experience.
  • 5+ years of professional software engineering experience with backend fundamentals.
  • Proficiency in Python and Bash in Linux environments.

Responsibilities

  • Discover new sources of audio data and build reliable pipelines to bring them into training datasets.
  • Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
  • Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models.
  • Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Backend development
Problem-solving
Independent work
Linux familiarity

Education

Degree in Computer Science or related field

Tools

Python
Bash
Terraform
GCP

Job description

Speechify is hiring a Software Engineer - AI Data to join its distributed AI team. You will build data pipelines powering model training and scalable AI products, working across data engineering, infrastructure, and research to create high-quality datasets at petabyte scale.

You will collaborate with AI scientists to improve training datasets, own engineering projects end-to-end, and help design systems that make AI training more efficient and scalable in a fully remote environment.

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