Remote Senior AI Data Engineer — Scalable Pipelines

Speechify Inc.; Polska; Hybrid; PLN 544,000 - 777,000; Full time

Benefits offered by this job

Remote-friendly work culture

Job summary

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

The role focuses on discovering data sources and creating scalable pipelines to enhance data quality and training efficiency. You will collaborate with AI scientists, own projects end-to-end, and work on production systems using Python and Bash in Linux environments.

Qualifications

• Degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience.
• Proficiency in Python and Bash in Linux environments.
• Experience building production systems, ideally involving data pipelines or large-scale data processing.
• Strong problem-solving skills and the ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of audio data and build reliable pipelines to bring them into 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 model development.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python

Bash

Backend development

Data pipelines

Problem solving

Independent work

Education

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Job description

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

The role focuses on discovering data sources and creating scalable pipelines to enhance data quality and training efficiency. You will collaborate with AI scientists, own projects end-to-end, and work on production systems using Python and Bash in Linux environments.