Remote AI Data Engineer for Scalable ML Pipelines

Speechify Inc.

Oregon

Hybrid

USD 140.000 - 200.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Speechify Inc. is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next‑gen AI products.

You’ll create high‑quality datasets at scale by merging engineering, infrastructure, and research, solving complex problems and exploring new data sources. The ideal candidate has 5+ years of backend software engineering, strong Python and Bash in Linux, and experience with production data pipelines.

Qualifikationen

  • Degree in Computer Science or related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience with backend focus.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production systems with data pipelines.
  • Strong problem-solving skills and ability to work independently in ambiguous environments.

Aufgaben

  • Discover new audio data sources and build pipelines for 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 models.
  • Take ownership of engineering projects from problem discovery through implementation and improvement.

Kenntnisse

Backend development
Python
Bash
Data pipelines
Problem solving

Ausbildung

Computer Science degree or equivalent

Tools

Linux
GCP
Terraform

Jobbeschreibung

Speechify Inc. is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next‑gen AI products.

You’ll create high‑quality datasets at scale by merging engineering, infrastructure, and research, solving complex problems and exploring new data sources. The ideal candidate has 5+ years of backend software engineering, strong Python and Bash in Linux, and experience with production data pipelines.

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