Remote Software Engineer, AI Data Pipelines

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

Benefits offered by this job

Dynamic environment

Innovation culture

Autonomy

Impactful work

Competitive compensation

Asynchronous culture

Life-changing product

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation products. This role emphasizes scalable data processing, collaboration with AI scientists, and ownership from problem discovery to implementation.

You'll work on petabyte-scale datasets, optimize quality, throughput, and cost, and help push the boundaries of AI in education accessibility.

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 with data pipelines or large-scale data processing.
• Strong problem-solving skills and ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of audio data and build reliable pipelines into training datasets.
• Build and improve large-scale data-processing systems for quality, throughput, and cost.
• Collaborate with AI Scientists to improve training datasets and models.
• Take ownership of engineering projects from discovery to implementation and continuous improvement.

Skills

Python

Bash

Linux

Backend development

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation products. This role emphasizes scalable data processing, collaboration with AI scientists, and ownership from problem discovery to implementation.

You'll work on petabyte-scale datasets, optimize quality, throughput, and cost, and help push the boundaries of AI in education accessibility.