AI Data Engineer: Build Scalable Training Pipelines

Speechify

United States

Remote

USD 140.000 - 200.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Competitive compensation
Asynchronous work culture
Autonomy
Impactful product

Zusammenfassung

Speechify is hiring a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. We operate in a 100% distributed setting with no office, collaborating with frontend/backend engineers, AI researchers, and others from top tech companies and universities.

The role focuses on discovering data sources, building scalable pipelines, and enabling efficient AI training, with ownership of projects from inception to improvement.

Qualifikationen

  • Degree in Computer Science or equivalent practical experience.
  • 5+ years of professional software engineering experience.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production data pipelines.
  • Strong problem-solving, initiative, and independence.

Aufgaben

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

Kenntnisse

Python
Bash
Backend development
Data pipelines
Production systems
Linux

Ausbildung

Bachelor's degree in Computer Science
Equivalent practical experience

Tools

GCP
Terraform

Jobbeschreibung

Speechify is hiring a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. We operate in a 100% distributed setting with no office, collaborating with frontend/backend engineers, AI researchers, and others from top tech companies and universities.

The role focuses on discovering data sources, building scalable pipelines, and enabling efficient AI training, with ownership of projects from inception to improvement.

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