Senior Software Engineer, AI Data Pipelines (Remote)

Speechify

United States

Remote

USD 120,000 - 170,000

Full time

3 days ago
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Job summary

Speechify is seeking a Software Engineer - AI Data to power our next-generation AI products by building robust data pipelines for model training. You will work on petabyte-scale datasets and collaborate with AI scientists to improve training data quality and throughput.

You will design and operate production data pipelines, optimize for cost, and own engineering projects from discovery to deployment, shaping the future of accessible reading through speech technology.

Qualifications

  • Degree in Computer Science or related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience.
  • 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 and 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

Backend development
Python
Bash
Linux environments
Data pipelines
Production systems

Education

Bachelor's degree in Computer Science or related field

Tools

GCP
Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to power our next-generation AI products by building robust data pipelines for model training. You will work on petabyte-scale datasets and collaborate with AI scientists to improve training data quality and throughput.

You will design and operate production data pipelines, optimize for cost, and own engineering projects from discovery to deployment, shaping the future of accessible reading through speech technology.

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