AI Data Engineer — Build Large-Scale Training Pipelines

Speechify

United States

Remote

USD 140,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
Asynchronous work culture
Impactful work in AI/Audio

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.

You will develop high-quality datasets at petabyte scale, optimize data quality, throughput, and cost, and collaborate with AI Scientists to enhance training datasets and models. This role emphasizes ownership and autonomy in a distributed, remote environment.

Qualifications

  • Degree or equivalent practical experience in CS or related field.
  • 5+ years of professional software engineering experience.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production data pipelines and 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 for training datasets.
  • Build and optimize large-scale data-processing systems for data quality, throughput, and cost.
  • Collaborate with AI Scientists to improve training datasets and models.
  • Own engineering projects from problem discovery through implementation and continuous improvement.

Skills

Backend development
Data pipelines
Cloud infrastructure
Problem solving
Independent work

Education

Bachelor's degree in Computer Science or related field

Tools

Python
Bash
Linux
GCP
Terraform

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.

You will develop high-quality datasets at petabyte scale, optimize data quality, throughput, and cost, and collaborate with AI Scientists to enhance training datasets and models. This role emphasizes ownership and autonomy in a distributed, remote environment.

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