Remote AI Data Engineer: Scalable 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

Dynamic environment
Autonomy
Asynchronous work culture
Competitive compensation
Impactful work
Inclusive, welcoming culture

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation products. The role is fully remote with a focus on scalable data systems and collaboration with AI scientists.

The ideal candidate brings 5+ years of software engineering backend experience, proficiency in Python and Bash in Linux, and a track record of building production data pipelines. Remote setup supports work across distributed teams.

Qualifications

  • A degree in Computer Science or related field.
  • 5+ years of professional software engineering experience with backend focus.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production data pipelines or large-scale data processing.

Responsibilities

  • Discover new data sources and build reliable data pipelines for training datasets.
  • Build and improve large-scale data-processing systems for quality and cost efficiency.
  • Collaborate with AI scientists to enhance training datasets and models.
  • Own engineering projects from discovery to implementation and improvement.

Skills

5+ years exp
Python
Bash
Linux
Backend
Problem solving

Education

CS degree

Tools

GCP
Terraform

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation products. The role is fully remote with a focus on scalable data systems and collaboration with AI scientists.

The ideal candidate brings 5+ years of software engineering backend experience, proficiency in Python and Bash in Linux, and a track record of building production data pipelines. Remote setup supports work across distributed teams.

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