Remote AI Data Engineer - Large-Scale ML Pipelines

Speechify; United States; Remote; USD 30,000 - 120,000; Full time

Benefits offered by this job

Remote-friendly culture

Competitive compensation

Stock options

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training for our reading-focused products.

You will work on petabyte-scale datasets, develop scalable data-processing systems, and collaborate with AI scientists to improve training data and model development. This is a fully remote role with a strong focus on robust, scalable software engineering.

Qualifications

• Degree in Computer Science or 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, ideally with data pipelines or large-scale data processing.
• Strong problem-solving, initiative, and 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 with AI Scientists to improve training datasets and support model development.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python

Bash

Backend development

Data pipelines

Education

Degree in Computer Science or related field

Equivalent practical experience

Tools

GCP

Terraform

Linux

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training for our reading-focused products.

You will work on petabyte-scale datasets, develop scalable data-processing systems, and collaborate with AI scientists to improve training data and model development. This is a fully remote role with a strong focus on robust, scalable software engineering.