Software Engineer, AI Data Pipelines

Speechify

United States

Remote

USD 30,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
Welcoming atmosphere
Asynchronous work culture
Impactful AI and audio projects

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. We create high-quality datasets at scale by integrating engineering, infrastructure, and research while solving complex data problems.

The role offers autonomy, collaboration with AI scientists, and opportunities to impact learning experiences for users with reading differences.

Qualifications

  • A degree in Computer Science or a related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience, with strong backend development fundamentals.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
  • Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.

Responsibilities

  • Discover new sources of audio data and build reliable pipelines to bring them into our 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

Python
Bash
Backend development
Data pipelines
Linux

Education

Computer Science degree or equivalent

Tools

Terraform
GCP

Job description

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. We create high-quality datasets at scale by integrating engineering, infrastructure, and research while solving complex data problems.

The role offers autonomy, collaboration with AI scientists, and opportunities to impact learning experiences for users with reading differences.

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