Senior AI Data Engineer - Build Scalable Training Pipelines

Speechify; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Autonomy

Impactful work

Asynchronous culture

Competitive compensation

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. We operate a fully distributed environment with no physical office, offering autonomy to engineers and a focus on scalable data systems.

You will discover new data sources, construct reliable ingestion and processing pipelines, and collaborate with AI scientists to advance training datasets and model development.

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

Python

Bash

Backend development

Data pipelines

Production systems

Independent work

Education

Degree in Computer Science or related field

Job description

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. We operate a fully distributed environment with no physical office, offering autonomy to engineers and a focus on scalable data systems.

You will discover new data sources, construct reliable ingestion and processing pipelines, and collaborate with AI scientists to advance training datasets and model development.