Senior AI Data Engineer - Scalable ML Pipelines

Speechify; United States; Remote; USD 30,000 - 110,000; Full time

Benefits offered by this job

Autonomy

Competitive pay

Asynchronous culture

Impactful product

AI and audio

Dynamic environment

Job summary

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. You will discover new audio data sources, design scalable data-processing systems, and collaborate with AI scientists to improve training datasets while taking ownership from discovery through delivery.

This role offers autonomy, competitive compensation, and a chance to contribute to accessible learning technologies that help people

Qualifications

• Degree in Computer Science or 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 with data pipelines or large-scale data processing.
• Strong problem-solving skills, 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

Linux

Backend development

Data pipelines

Production systems

Education

CS degree or equivalent

Job description

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. You will discover new audio data sources, design scalable data-processing systems, and collaborate with AI scientists to improve training datasets while taking ownership from discovery through delivery.

This role offers autonomy, competitive compensation, and a chance to contribute to accessible learning technologies that help people