Remote Software Engineer, AI Data Pipelines & Systems

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

Job summary

Speechify, a fully distributed team, is seeking a Software Engineer - AI Data to join our AI data group and build data pipelines powering model training and next‑generation AI products. You will help design, implement, and maintain scalable data pipelines and datasets at petabyte scale while balancing quality, throughput, and cost.

You’ll collaborate with AI scientists, own engineering projects from discovery to deployment, and thrive in an autonomous, ambiguous environment as we push the

Qualifications

• A degree in Computer Science or a 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

5+ years backend

Python

Bash

Data pipelines

Production systems

Education

CS degree or equivalent

Tools

Linux

GCP

Terraform

SQL

Job description

Speechify, a fully distributed team, is seeking a Software Engineer - AI Data to join our AI data group and build data pipelines powering model training and next‑generation AI products. You will help design, implement, and maintain scalable data pipelines and datasets at petabyte scale while balancing quality, throughput, and cost.

You’ll collaborate with AI scientists, own engineering projects from discovery to deployment, and thrive in an autonomous, ambiguous environment as we push the