Senior AI Data Engineer - Remote, Scalable ML Pipelines

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

Benefits offered by this job

Equity

Remote-friendly (distributed team)

Autonomy

Competitive compensation

Asynchronous work culture

Job summary

Speechify Inc. in a fully distributed environment seeks a Software Engineer - AI Data to build data pipelines powering model training and AI products.

You will discover new audio data sources, design scalable data-processing systems, and collaborate with AI scientists to improve datasets and next-generation models. You will own engineering projects from discovery to implementation and continuous improvement.

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.

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

Bachelor's degree in Computer Science

Tools

Linux

Terraform

GCP

Job description

Speechify Inc. in a fully distributed environment seeks a Software Engineer - AI Data to build data pipelines powering model training and AI products.

You will discover new audio data sources, design scalable data-processing systems, and collaborate with AI scientists to improve datasets and next-generation models. You will own engineering projects from discovery to implementation and continuous improvement.