Remote AI Data Engineer for Scalable ML Pipelines

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

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Remote, distributed team

Impactful AI/data work

Job summary

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

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. You will solve complex problems, explore new data sources, and build systems that make AI training more efficient and scalable in a fully distributed environment.

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

5+ years of experience

Backend development

Python

Bash

Problem solving

Independent work in ambiguity

Education

Degree in Computer Science or related field

Job description

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

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. You will solve complex problems, explore new data sources, and build systems that make AI training more efficient and scalable in a fully distributed environment.