AI Data Engineer for Scalable Training Pipelines (Remote)

Speechify Inc.; Polska; Híbrido; PLN 117 000 - 428 000; Tempo integral

Resumo da oferta

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

You will work on high-quality datasets at scale, solving complex data problems and exploring new data sources to improve training efficiency and scalability. The ideal candidate will have a degree in CS or related field, 5+ years of backend experience, and proficiency in Python and Bash in Linux environments.

Qualificações

• 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.

Responsabilidades

• Discover new sources of audio data and build reliable pipelines to bring them into 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.

Conhecimentos

Python

Bash

Linux

Data pipelines

Large-scale data processing

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

GCP

Terraform

Descrição da oferta de emprego

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

You will work on high-quality datasets at scale, solving complex data problems and exploring new data sources to improve training efficiency and scalability. The ideal candidate will have a degree in CS or related field, 5+ years of backend experience, and proficiency in Python and Bash in Linux environments.