Remote Software Engineer — AI Data Pipelines

Speechify Inc.; Polska; Hybrid; PLN 117,000 - 447,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Autonomy and creativity

Impactful product

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join Speechify's AI team and build data pipelines powering model training. We operate a fully distributed team with no offices, offering autonomy and a fast-paced, inclusive environment.

You will discover new data sources, design scalable data-processing systems, and collaborate with AI scientists to improve training datasets. This remote role emphasizes ownership and impact on next-generation models.

Qualifications

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

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

Problem solving

Independent work

Education

Degree in Computer Science or related field

Tools

Python

Bash

Linux

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join Speechify's AI team and build data pipelines powering model training. We operate a fully distributed team with no offices, offering autonomy and a fast-paced, inclusive environment.

You will discover new data sources, design scalable data-processing systems, and collaborate with AI scientists to improve training datasets. This remote role emphasizes ownership and impact on next-generation models.