Remote AI Data Engineer: Build Scalable ML Data Pipelines

Speechify Inc.; Polska; Hybrid; PLN 117,000 - 447,000; Full time

Benefits offered by this job

Autonomy

Competitive compensation

Asynchronous work culture

Impactful work

Diversity & inclusion

Global team

Job summary

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

We create high-quality datasets at petabyte scale by combining engineering, infrastructure, and research. You will ingest new data sources, optimize data pipelines for quality and cost, and build scalable systems that accelerate AI training in a fast-paced, innovative environment.

Qualifications

• A degree in Computer Science or a 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 data pipelines or large-scale data processing.
• Strong problem-solving skills 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

Education

Bachelor's degree in Computer Science or related field

Tools

Linux

Job description

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

We create high-quality datasets at petabyte scale by combining engineering, infrastructure, and research. You will ingest new data sources, optimize data pipelines for quality and cost, and build scalable systems that accelerate AI training in a fast-paced, innovative environment.