Remote AI Data Engineer — Scalable ML Pipelines

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

Benefits offered by this job

Autonomy

Asynchronous work culture

Impactful work

Competitive compensation

Job summary

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

We operate a fully distributed workforce with no office and collaborate across teams worldwide. You will discover new data sources, design scalable data-processing systems, and work closely with AI scientists to improve datasets and model training.

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 development

Data pipelines

Problem solving

Education

Computer Science degree

Tools

Linux

Terraform

GCP

Job description

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

We operate a fully distributed workforce with no office and collaborate across teams worldwide. You will discover new data sources, design scalable data-processing systems, and work closely with AI scientists to improve datasets and model training.