AI Data Engineer for Scalable ML Data Pipelines

Speechify

EE. UU.

A distancia

USD 30.000 - 120.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive pay
Asynchronous culture
Welcoming atmosphere
Autonomy

Descripción de la vacante

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team. You will design data pipelines powering model training, build scalable data processing systems, and collaborate with AI scientists to improve datasets for next-generation models.

You will work in a fully remote role with global teammates, leveraging Python and Bash in Linux environments and cloud IaC tools like GCP and Terraform.

Formación

  • 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 with data pipelines or large-scale processing.
  • Strong problem-solving skills and ability to work independently in ambiguity.
  • Experience with web crawlers, data acquisition, or distributed data-processing systems.
  • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform.
  • Familiarity with ML training data, dataset quality, or audio processing.

Responsabilidades

  • Discover new sources of audio data and build reliable pipelines for training datasets.
  • Build and improve large-scale data-processing systems for quality and cost efficiency.
  • Collaborate with AI Scientists to improve training datasets and models.
  • Own engineering projects from problem discovery through implementation and iteration.

Conocimientos

Python
Bash
Linux
Data pipelines
Web crawlers
Distributed data
Production systems
Data quality
Cloud (GCP)
Terraform

Educación

CS degree or related field

Herramientas

GCP
Terraform

Descripción del empleo

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team. You will design data pipelines powering model training, build scalable data processing systems, and collaborate with AI scientists to improve datasets for next-generation models.

You will work in a fully remote role with global teammates, leveraging Python and Bash in Linux environments and cloud IaC tools like GCP and Terraform.

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