Remote Software Engineer, AI Data Pipelines

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

Benefits offered by this job

Asynchronous work culture

Competitive compensation

Equity

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.

We create petabyte-scale, cost-efficient data pipelines by combining engineering, infrastructure, and research to enable scalable AI development. The ideal candidate will build reliable data sources, drive data quality, and partner with AI researchers to shape future models, while owning projects from concept to delivery in a distributed,

Qualifications

• Degree in Computer Science 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.

Responsibilities

• 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.

Skills

Backend development

Data pipelines

Education

Bachelor's in CS or related field

Tools

Python

Bash

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.

We create petabyte-scale, cost-efficient data pipelines by combining engineering, infrastructure, and research to enable scalable AI development. The ideal candidate will build reliable data sources, drive data quality, and partner with AI researchers to shape future models, while owning projects from concept to delivery in a distributed,