Software Engineer - AI Data Pipelines

Speechify; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Autonomy in work

Impactful AI data projects

Diverse and inclusive workplace

Job summary

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next‑gen AI products. You will build large‑scale data pipelines, optimize quality and cost, and collaborate with AI scientists to improve training datasets and models.

The ideal candidate has 5+ years in software engineering, strong Python and Bash skills, and proven experience with production data systems and data pipelines in Linux environments.

Qualifications

• A degree in Computer Science or a 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 and build data pipelines from new audio data sources for training datasets.
• Build and optimize large-scale data-processing systems for quality, throughput, and cost.
• Collaborate with AI Scientists to improve training datasets and models.
• Take ownership of engineering projects from discovery to implementation and continuous improvement.

Skills

Backend development

Python

Bash

Data pipelines

Production systems

Independent work

Education

Bachelor's in Computer Science

Tools

Linux

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next‑gen AI products. You will build large‑scale data pipelines, optimize quality and cost, and collaborate with AI scientists to improve training datasets and models.

The ideal candidate has 5+ years in software engineering, strong Python and Bash skills, and proven experience with production data systems and data pipelines in Linux environments.