Remote AI Data Engineer — Build Scalable ML Pipelines

Speechify Inc.; Polska; Ibrido; PLN 544.000 - 777.000; Tempo pieno

Vantaggi offerti da questo lavoro

Autonomy

Remote work

Competitive compensation

Descrizione del lavoro

Speechify Inc. is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next-generation AI products. We operate in a fully distributed setup with no offices.

You will discover new data sources, construct robust pipelines, and collaborate with AI Scientists to improve training datasets and models. Strong backend skills and cloud experience are essential.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

Bash

Linux

Backend development

Data pipelines

Formazione

Degree in Computer Science or related field

Strumenti

GCP

Terraform

Descrizione del lavoro

Speechify Inc. is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next-generation AI products. We operate in a fully distributed setup with no offices.

You will discover new data sources, construct robust pipelines, and collaborate with AI Scientists to improve training datasets and models. Strong backend skills and cloud experience are essential.