Software Engineer, AI Data Pipelines (Remote)

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

Benefits offered by this job

Autonomy

Asynchronous culture

Impactful work

Competitive pay

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. This remote role supports a globally distributed engineering culture.

You will develop data pipelines for petabyte-scale datasets, collaborate with AI scientists, and own projects from discovery to delivery, focusing on data quality, throughput, and cost.

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

Python

Bash

Linux

Data pipelines

Production systems

Problem solving

Independent work

Education

Degree in Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. This remote role supports a globally distributed engineering culture.

You will develop data pipelines for petabyte-scale datasets, collaborate with AI scientists, and own projects from discovery to delivery, focusing on data quality, throughput, and cost.