AI Data Engineer for Scalable ML 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 its AI team and build data pipelines powering model training and next-generation AI products.

You will help assemble high-quality datasets at petabyte scale and contribute to scalable, cost-efficient data systems. The ideal candidate has 5+ years of backend software experience, strong Python/Bash skills in Linux, and a track record of building production data pipelines.

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

Strong backend development

Independent worker

Problem solving

Education

Computer Science degree or equivalent

Tools

Python

Bash

Linux

Job description

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

You will help assemble high-quality datasets at petabyte scale and contribute to scalable, cost-efficient data systems. The ideal candidate has 5+ years of backend software experience, strong Python/Bash skills in Linux, and a track record of building production data pipelines.