Senior AI Data Pipeline Engineer

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

Benefits offered by this job

Dynamic environment

Innovation culture

Autonomy

Significant impact

Competitive compensation

Asynchronous-friendly culture

Job summary

Speechify is seeking a Software Engineer - AI Data to join the AI team and build data pipelines powering model training and AI products. You will create high-quality datasets at scale, blending engineering, infrastructure, and research to drive efficiency and cost savings.

You will discover new data sources, develop large-scale processing systems, and collaborate with AI researchers to advance next-generation models. This role offers strong autonomy in a distributed, remote environment.

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 involving data pipelines or large-scale data processing.
• Strong problem-solving skills 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

Python

Bash

Backend development

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Job description

Speechify is seeking a Software Engineer - AI Data to join the AI team and build data pipelines powering model training and AI products. You will create high-quality datasets at scale, blending engineering, infrastructure, and research to drive efficiency and cost savings.

You will discover new data sources, develop large-scale processing systems, and collaborate with AI researchers to advance next-generation models. This role offers strong autonomy in a distributed, remote environment.