Senior AI Data Engineer - Pipelines & Scale

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

Benefits offered by this job

Competitive compensation

Asynchronous culture

Remote-friendly environment

Impactful work

Job summary

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

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable.

Qualifications

• 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 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

Bash

Linux

Backend development

Data pipelines

Problem solving

Education

Bachelor's degree in Computer Science

Tools

Terraform

GCP

Job description

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

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable.