Remote AI Data Engineer - Build Scalable ML 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
Impactful work
Asynchronous culture
Competitive compensation

Job summary

Speechify Inc. is seeking a Software Engineer, AI Data to join our remote global team.

You will build data pipelines powering model training and next‑generation AI products, handling large-scale datasets and production systems. Ideal candidates have a CS degree (or equivalent), 5+ years of software engineering, strong Python and Bash in Linux, and experience with data pipelines, cloud infrastructure (GCP, Terraform), and collaborating with AI scientists.

Qualifications

  • A degree in Computer Science or a 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, especially data pipelines or large-scale data processing.
  • Strong problem-solving skills and ability to work independently in ambiguous environments.

Responsibilities

  • 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 data quality, throughput, and cost.
  • Collaborate with AI Scientists to improve training datasets and support next-generation models.
  • Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

5+ years of software engineering
Python
Bash
Linux
Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

GCP
Terraform

Job description

Speechify Inc. is seeking a Software Engineer, AI Data to join our remote global team.

You will build data pipelines powering model training and next‑generation AI products, handling large-scale datasets and production systems. Ideal candidates have a CS degree (or equivalent), 5+ years of software engineering, strong Python and Bash in Linux, and experience with data pipelines, cloud infrastructure (GCP, Terraform), and collaborating with AI scientists.

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