Software Engineer, AI Data — Remote, High-Impact Pipelines

Speechify; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Speechify is seeking a Software Engineer - AI Data to join the AI team and build data pipelines powering model training and next-generation AI products. You will work on high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to enable efficient, scalable AI training.

The ideal candidate has a strong backend foundation, 5+ years of software engineering experience, and proficiency in Python and Bash in Linux environments.

Qualifications

• Degree in Computer Science or 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

Linux

Data Pipelines

Production Systems

Backend Fundamentals

Independent Work

Education

B.S. in Computer Science or related field

Tools

Terraform

GCP

Job description

Speechify is seeking a Software Engineer - AI Data to join the AI team and build data pipelines powering model training and next-generation AI products. You will work on high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to enable efficient, scalable AI training.

The ideal candidate has a strong backend foundation, 5+ years of software engineering experience, and proficiency in Python and Bash in Linux environments.