Senior Software Engineer, AI Data Pipelines (Remote)

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

Benefits offered by this job

Competitive compensation

Autonomy and flexibility

Impactful work in AI and audio

Job summary

Speechify Inc. seeks a Software Engineer - AI Data to join our distributed AI team and own data pipelines powering model training. You will build high-quality datasets and scalable systems that reduce cost and improve data quality.

You will collaborate with AI scientists, take ownership of projects end-to-end, and apply Python, Bash, and Linux to production-grade data pipelines in a remote-friendly, asynchronous culture.

Qualifications

• 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 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 the development of next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python

Bash

Backend development

Problem solving

Independent work

Education

Computer Science degree

Tools

Linux environments

GCP

Terraform

Job description

Speechify Inc. seeks a Software Engineer - AI Data to join our distributed AI team and own data pipelines powering model training. You will build high-quality datasets and scalable systems that reduce cost and improve data quality.

You will collaborate with AI scientists, take ownership of projects end-to-end, and apply Python, Bash, and Linux to production-grade data pipelines in a remote-friendly, asynchronous culture.