Remote Software Engineer - AI Data Pipelines

Speechify Inc.; Oregon; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Autonomy

Competitive compensation

Asynchronous work culture

Impactful work

Diversity & inclusion

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-gen products.

You will discover new audio data sources, construct scalable data-processing systems, and collaborate with AI scientists to improve datasets and models, taking ownership from discovery to delivery. You will work with production-grade data pipelines, oversee data quality and cost, and contribute to a rapidly evolving AI-audio platform that

Qualifications

• A degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience with strong backend fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, especially 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 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

Years of experience (5+)

Python

Bash

Backend development

Data pipelines

Linux

Education

CS degree or equivalent

Tools

Linux

Terraform

GCP

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-gen products.

You will discover new audio data sources, construct scalable data-processing systems, and collaborate with AI scientists to improve datasets and models, taking ownership from discovery to delivery. You will work with production-grade data pipelines, oversee data quality and cost, and contribute to a rapidly evolving AI-audio platform that