Remote AI Data Engineer - Scale AI Training Pipelines

Speechify Inc.

Polska

Hybrid

PLN 544,000 - 777,000

Full time

2 days ago
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Benefits offered by this job

Autonomy
Asynchronous work culture
Competitive compensation
Impactful work
Dyslexia-friendly product

Job summary

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

You will work on petabyte-scale datasets, integrate new data sources, and collaborate with AI scientists to improve training datasets and models. This role offers impact, autonomy, and competitive compensation in a remote-first environment.

Qualifications

  • Degree in Computer Science or related field or equivalent practical experience.
  • 5+ years of professional software engineering experience with strong backend 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 pipelines to bring them into training datasets.
  • Build and improve large-scale data-processing systems for quality, throughput, and cost.
  • Collaborate with AI Scientists to improve training datasets and models.
  • Take ownership of engineering projects from discovery to implementation and improvement.

Skills

Python
Bash
Linux
Backend development
Data pipelines
Data processing
Production systems
Problem solving

Education

CS degree or related field

Tools

GCP
Terraform

Job description

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

You will work on petabyte-scale datasets, integrate new data sources, and collaborate with AI scientists to improve training datasets and models. This role offers impact, autonomy, and competitive compensation in a remote-first environment.

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