AI Data Engineer — Scale Training Pipelines

Speechify Inc.; Oregon; Hybrid; USD 140,000 - 200,000; Full time

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next-generation AI products. We develop high-quality datasets at scale, combining engineering, infrastructure, and research to enable faster, cheaper training.

The ideal candidate thrives on solving complex data problems, enjoys exploring new data sources, and delivering reliable systems that scale with our growing needs across cloud platforms and on-prem when needed.

Qualifications

• Degree in CS or related field or equivalent practical experience.
• 5+ years of professional software engineering experience.
• Proficiency in Python and Bash in Linux environments.
• Experience building/operating production systems, preferably data pipelines or large-scale data processing.
• Strong problem-solving skills and ability to work independently.

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

Data pipelines

Software engineering

Education

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Tools

GCP

Terraform

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next-generation AI products. We develop high-quality datasets at scale, combining engineering, infrastructure, and research to enable faster, cheaper training.

The ideal candidate thrives on solving complex data problems, enjoys exploring new data sources, and delivering reliable systems that scale with our growing needs across cloud platforms and on-prem when needed.