AI Data Engineer - Build Scalable ML Datasets & Pipelines

Speechify; United States; A distancia; USD 140.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Autonomy

Competitive compensation

Asynchronous work culture

Descripción de la vacante

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. You’ll work on high-quality datasets at petabyte scale, crossing engineering, infrastructure, and research to improve data quality and training efficiency.

You will discover new data sources, optimize data-processing systems, and collaborate with AI Scientists to advance production models.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

Bash

Linux

Backend development

Data pipelines

Problem solving

Educación

Degree in Computer Science or related field

Descripción del empleo

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. You’ll work on high-quality datasets at petabyte scale, crossing engineering, infrastructure, and research to improve data quality and training efficiency.

You will discover new data sources, optimize data-processing systems, and collaborate with AI Scientists to advance production models.