AI Data Engineer - Backend, High-Scale Pipelines (Remote)

Speechify Inc.; Polska; Híbrido; PLN 544 000 - 777 000; Tempo integral

Resumo da oferta

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and next-generation AI products.

We create petabyte-scale datasets by combining engineering, infrastructure, and research, delivering high-quality data at scale. The ideal candidate will enjoy solving complex problems, exploring new data sources, and building systems to improve AI training efficiency while working remotely for a global team.

Qualificações

• A 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, 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.

Conhecimentos

Backend development

Problem solving

Independent work

Formação académica

Bachelors in Computer Science or related field

Ferramentas

Python

Bash

Linux

GCP

Terraform

Descrição da oferta de emprego

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and next-generation AI products.

We create petabyte-scale datasets by combining engineering, infrastructure, and research, delivering high-quality data at scale. The ideal candidate will enjoy solving complex problems, exploring new data sources, and building systems to improve AI training efficiency while working remotely for a global team.