Senior Software Engineer, AI Data Pipelines

Speechify; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Autonomy

Welcoming atmosphere

Job summary

Speechify is seeking a Software Engineer - AI Data to join our AI team and build the data pipelines powering model training and next-generation AI products. We create high-quality datasets at petabyte scale by combining engineering, infrastructure, and research to improve training efficiency and scalability.

The ideal candidate will have 5+ years of backend software experience, strong Python and Bash skills in Linux, and a proven track record building and operating production data pipelines.

Qualifications

• Degree in Computer Science or related field, or equivalent practical experience.
• 5+ years of professional software engineering experience with backend focus.
• Proficiency in Python and Bash in Linux environments.
• Experience building/operating production systems 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 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

Backend development

Linux environments

Data pipelines

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our AI team and build the data pipelines powering model training and next-generation AI products. We create high-quality datasets at petabyte scale by combining engineering, infrastructure, and research to improve training efficiency and scalability.

The ideal candidate will have 5+ years of backend software experience, strong Python and Bash skills in Linux, and a proven track record building and operating production data pipelines.