AI Data Engineer for Scalable ML Pipelines

Speechify; United States; Remote; USD 30,000 - 80,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Impactful product

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-generation products. You will help assemble high-quality datasets at petabyte scale by combining engineering, infrastructure, and research efforts.

The role focuses on discovering new data sources, building scalable pipelines, and collaborating with AI scientists to improve training data and model performance.

Qualifications

• Requires 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 and the ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of audio data and build reliable pipelines to bring them into 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

Linux

Backend development

Data pipelines

Production systems

Education

Degree in Computer Science or related field

Tools

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-generation products. You will help assemble high-quality datasets at petabyte scale by combining engineering, infrastructure, and research efforts.

The role focuses on discovering new data sources, building scalable pipelines, and collaborating with AI scientists to improve training data and model performance.