Remote Software Engineer, AI Data Pipelines

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

Benefits offered by this job

Remote-friendly

Competitive compensation

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and AI products. You will work on petabyte-scale data, optimize data quality and cost, and collaborate with AI scientists to drive next-generation models.

The role emphasizes solving complex data problems, exploring new data sources, and delivering scalable data systems in a fully remote, international environment.

Qualifications

• 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, initiative, 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

Python

Backend development

Data pipelines

Bash

Independent work

Education

CS degree or equivalent

Tools

Linux

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and AI products. You will work on petabyte-scale data, optimize data quality and cost, and collaborate with AI scientists to drive next-generation models.

The role emphasizes solving complex data problems, exploring new data sources, and delivering scalable data systems in a fully remote, international environment.