Software Engineer, AI Data Pipelines

Speechify; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Dynamic work environment

Impactful projects

Autonomy

Asynchronous work culture

Competitive compensation

Diversity and inclusion

Job summary

Speechify seeks a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products.

We create high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to improve AI training efficiency and scalability.

You will collaborate with AI scientists, own projects end-to-end, and help build production data systems in a fast-paced remote environment with autonomy and impact.

Qualifications

• 5+ years of professional software engineering experience.
• Strong backend development fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience with data pipelines or large-scale data processing.
• Problem-solving, initiative, and ability to work independently.

Responsibilities

• Discover new sources of audio data and build pipelines for training datasets.
• Build and improve large-scale data-processing systems with quality, throughput and cost focus.
• Collaborate with AI scientists to improve training datasets and models.
• Own engineering projects from discovery to deployment and iteration.

Skills

5+ years software engineering

Python

Bash

Linux

Data pipelines

Backend development

Problem solving

Education

B.S. in Computer Science

Equivalent practical experience

Tools

GCP

Terraform

Job description

Speechify seeks a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products.

We create high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to improve AI training efficiency and scalability.

You will collaborate with AI scientists, own projects end-to-end, and help build production data systems in a fast-paced remote environment with autonomy and impact.