AI Data Pipeline Engineer - Remote, High-Impact

Speechify

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Autonomy
Competitive compensation
Asynchronous work
Impactful work culture

Job summary

Speechify is seeking a Software Engineer - AI Data to join our AI team and build data pipelines that power model training and future AI products. We operate a distributed team with no central office and collaborate across time zones to move fast.

You will discover new data sources, design and optimize large-scale data-processing systems, and work closely with AI scientists to improve training datasets and models.

Qualifications

  • Degree in Computer Science or a related field or equivalent practical experience.
  • 5+ years of professional software engineering experience with strong backend fundamentals.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production systems, ideally with data pipelines or large-scale data processing.

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 with AI scientists to improve training datasets and support 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
Problem solving

Education

Computer Science degree

Tools

Linux
GCP
Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our AI team and build data pipelines that power model training and future AI products. We operate a distributed team with no central office and collaborate across time zones to move fast.

You will discover new data sources, design and optimize large-scale data-processing systems, and work closely with AI scientists to improve training datasets and models.

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