AI Data Engineer - Scale Training Pipelines (Remote)

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

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Autonomy

Impactful work in AI & audio

Diversity & inclusion

Job summary

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

We operate a distributed, remote-first environment with a focus on scalable data systems and data quality. We value engineers who enjoy solving complex data problems, exploring new data sources, and building systems that enable efficient AI 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

Linux environments

Production systems

Problem solving

Education

Degree in Computer Science or related field

Tools

GCP

Terraform

Job description

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

We operate a distributed, remote-first environment with a focus on scalable data systems and data quality. We value engineers who enjoy solving complex data problems, exploring new data sources, and building systems that enable efficient AI training.