Remote AI Data Engineer: Scalable Training Pipelines

Speechify Inc.; Polska; Hybride; PLN 544 000 - 777 000; Plein temps

Résumé du poste

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training. This role focuses on designing scalable data systems for petabyte-scale datasets, collaborating with AI scientists to improve training data and models.

You'll discover new data sources, optimize pipelines for quality, throughput, and cost, and take ownership from problem discovery to implementation in a fast-growing, remote-friendly environment.

Qualifications

• A degree in Computer Science or related field, or equivalent practical experience.
• 5+ years of professional software engineering experience with 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 the ability to work independently in ambiguous environments.

Responsabilités

• 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.

Connaissances

Backend development

Python

Bash

Data pipelines

Production systems

Formation

Bachelor's degree in Computer Science

Outils

Linux

GCP

Terraform

Description du poste

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training. This role focuses on designing scalable data systems for petabyte-scale datasets, collaborating with AI scientists to improve training data and models.

You'll discover new data sources, optimize pipelines for quality, throughput, and cost, and take ownership from problem discovery to implementation in a fast-growing, remote-friendly environment.