Senior AI Data Engineer - Scalable ML Pipelines

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

Ventajas ofrecidas por este puesto de trabajo

Distributed team culture

Autonomy

Impactful work

Competitive compensation

Asynchronous work culture

Product changing lives

Descripción de la vacante

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and future AI products. We develop datasets at petabyte scale by combining engineering, infrastructure, and research, delivering high-quality data for training.

The ideal candidate has 5+ years of backend software engineering, strong Python and Bash, and experience with data pipelines or large-scale data processing.

Formación

• Degree in CS or related field or equivalent practical experience.
• 5+ years of professional software engineering experience with strong backend 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 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

Backend development

Data pipelines

Linux

Problem solving

Educación

Bachelor's degree in Computer Science or equivalent

Herramientas

GCP

Terraform

Descripción del empleo

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and future AI products. We develop datasets at petabyte scale by combining engineering, infrastructure, and research, delivering high-quality data for training.

The ideal candidate has 5+ years of backend software engineering, strong Python and Bash, and experience with data pipelines or large-scale data processing.