AI Data Engineer – Pipelines & ML Training (Remote)

Speechify Inc.

Lille

Hybrid

EUR 27,000 - 89,000

Full time

2 days ago
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Benefits offered by this job

Remote-friendly
Stock options
Flexible schedule

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join its AI team in Lille, France. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets and optimizing for quality, throughput, and cost.

You will collaborate with AI Scientists, own projects from discovery to delivery, and improve training datasets while solving complex data challenges in a distributed, remote-friendly environment.

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, ideally involving data pipelines or large-scale data processing.
  • Strong problem-solving skills and the 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 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
Backend development
Data pipelines
Problem solving
Independent work

Education

CS degree or equivalent

Tools

GCP
Terraform
Linux environments

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join its AI team in Lille, France. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets and optimizing for quality, throughput, and cost.

You will collaborate with AI Scientists, own projects from discovery to delivery, and improve training datasets while solving complex data challenges in a distributed, remote-friendly environment.

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