Remote AI Data Engineer for Scalable Pipelines

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

Benefits offered by this job

Autonomy

Impact

Competitive pay

Async culture

Job summary

Speechify Inc. is seeking a Software Engineer, AI Data to join the distributed AI team. You will build data pipelines powering model training and future AI products, handling petabyte-scale data with a focus on quality and cost-efficiency.

You will collaborate with AI Scientists, own projects from discovery to delivery, and contribute to a rapidly evolving audio AI domain with an emphasis on scalable engineering and data integrity.

Qualifications

• Degree in Computer Science or 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 experience

Python

Bash

Data pipelines

Backend fundamentals

Independent work

Education

Bachelor's degree in Computer Science

Tools

Linux

Cloud (GCP)

Terraform

Production systems

Job description

Speechify Inc. is seeking a Software Engineer, AI Data to join the distributed AI team. You will build data pipelines powering model training and future AI products, handling petabyte-scale data with a focus on quality and cost-efficiency.

You will collaborate with AI Scientists, own projects from discovery to delivery, and contribute to a rapidly evolving audio AI domain with an emphasis on scalable engineering and data integrity.