Senior Software Engineer, AI Data Pipelines - Remote

Speechify Inc.; Polska; Hybrid; PLN 117,000 - 233,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Stock options

Job summary

Speechify is seeking a Software Engineer - AI Data to join its fully distributed team and build the data pipelines powering model training and next-generation AI products. We work with petabyte-scale datasets, integrating engineering, infrastructure, and research to improve data quality, throughput and cost.

The ideal candidate has 5+ years of backend software experience, Python and Bash in Linux, and proven production systems experience.

Qualifications

• 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.

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

Python

Bash

Backend dev

Data pipelines

Linux

Problem solving

Education

CS degree

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join its fully distributed team and build the data pipelines powering model training and next-generation AI products. We work with petabyte-scale datasets, integrating engineering, infrastructure, and research to improve data quality, throughput and cost.

The ideal candidate has 5+ years of backend software experience, Python and Bash in Linux, and proven production systems experience.