Remote Software Engineer - AI Data Pipelines

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

Benefits offered by this job

Dynamic environment

Innovative team

Autonomy

Significant impact

Competitive compensation

Asynchronous work culture

Job summary

Speechify in the United States is seeking a Software Engineer - AI Data to build data pipelines powering model training and next-generation AI products. You will work on petabyte-scale datasets, combining engineering, infrastructure, and research to enable scalable AI development.

The ideal candidate thrives on solving complex data problems, exploring new data sources, and delivering systems that reduce cost and increase efficiency in AI training.

Qualifications

• Degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production data pipelines.
• Strong problem-solving skills and ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of audio data and build reliable pipelines into training datasets.
• Build and improve large-scale data-processing systems for quality, throughput, and cost.
• Collaborate closely with AI Scientists to improve training datasets for next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Backend development

Problem solving

Independent work

Data pipelines

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Bash

Linux

Data pipelines

Terraform

GCP

Job description

Speechify in the United States is seeking a Software Engineer - AI Data to build data pipelines powering model training and next-generation AI products. You will work on petabyte-scale datasets, combining engineering, infrastructure, and research to enable scalable AI development.

The ideal candidate thrives on solving complex data problems, exploring new data sources, and delivering systems that reduce cost and increase efficiency in AI training.