Software Engineer, AI Data Pipelines - Remote

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

Benefits offered by this job

Autonomy

Impactful work

Equity participation

Asynchronous work culture

Job summary

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

You will discover new sources of audio data, design large-scale data-processing systems, and collaborate with AI scientists to improve training datasets, while optimizing quality, throughput and cost across petabyte-scale datasets. This is a remote, full-time role with competitive US-based compensation.

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

Backend development

Problem-solving

Independent work

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Bash

Linux

Job description

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

You will discover new sources of audio data, design large-scale data-processing systems, and collaborate with AI scientists to improve training datasets, while optimizing quality, throughput and cost across petabyte-scale datasets. This is a remote, full-time role with competitive US-based compensation.