Senior Software Engineer, AI Data Pipelines

Speechify; United States; Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Welcoming atmosphere

Async work culture

Job summary

Speechify is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and AI products. You’ll create high-quality datasets at scale by blending engineering, infrastructure, and research.

The role calls for solving complex problems, exploring new data sources, and creating scalable data systems. You’ll partner with AI Scientists to refine training data, improve model readiness, and own projects from discovery to delivery in a fully distributed,

Qualifications

• Requires a 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 and the ability to work independently in ambiguous environments.

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 next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Backend development

Data pipelines

Independent work

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Bash

Linux

Job description

Speechify is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and AI products. You’ll create high-quality datasets at scale by blending engineering, infrastructure, and research.

The role calls for solving complex problems, exploring new data sources, and creating scalable data systems. You’ll partner with AI Scientists to refine training data, improve model readiness, and own projects from discovery to delivery in a fully distributed,