Remote Software Engineer - AI Data Pipelines

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

Benefits offered by this job

Autonomy

Asynchronous culture

Competitive compensation

Impactful work

Job summary

Speechify is seeking a Software Engineer - AI Data to join Speechify's AI team and build the data pipelines that power our model training and next-generation AI products.

We operate a distributed, 100% remote team with collaboration across data engineers, AI researchers, and product teams. The role emphasizes building scalable data-processing systems, optimizing data quality, and driving efficiency in training datasets.

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 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

Linux

Data pipelines

Backend development

Problem solving

Independent work

Education

CS degree

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join Speechify's AI team and build the data pipelines that power our model training and next-generation AI products.

We operate a distributed, 100% remote team with collaboration across data engineers, AI researchers, and product teams. The role emphasizes building scalable data-processing systems, optimizing data quality, and driving efficiency in training datasets.