AI Data Engineer — Build Scalable Data Pipelines

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

Job summary

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets and optimizing data quality, throughput, and cost.

The ideal candidate has a CS degree or equivalent, 5+ years in backend software engineering, and strong Python and Bash in Linux environments. Remote work is supported with international collaboration across teams.

Qualifications

• 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

Backend development

Python

Bash

Data pipelines

Problem solving

Education

CS degree or related field

Tools

Google Cloud Platform (GCP)

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets and optimizing data quality, throughput, and cost.

The ideal candidate has a CS degree or equivalent, 5+ years in backend software engineering, and strong Python and Bash in Linux environments. Remote work is supported with international collaboration across teams.