Remote Software Engineer, AI Data Pipelines

Speechify Inc.

Oregon

Ibrido

USD 140.000 - 200.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Autonomy
Asynchronous work culture
Competitive compensation
Impactful product
Support for diverse learners

Descrizione del lavoro

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. You’ll develop high-quality datasets at scale by integrating engineering, infrastructure, and research, solving complex problems, exploring new data sources, and improving data pipelines for efficiency and scalability.

You will collaborate with AI scientists to enhance training datasets and support model development in a dynamic, distributed

Competenze

  • A 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 data processing.
  • Strong problem-solving skills and ability to work independently in ambiguous environments.

Mansioni

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

Conoscenze

Python
Bash
Backend development
Data pipelines
Problem solving

Formazione

Computer Science degree

Descrizione del lavoro

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. You’ll develop high-quality datasets at scale by integrating engineering, infrastructure, and research, solving complex problems, exploring new data sources, and improving data pipelines for efficiency and scalability.

You will collaborate with AI scientists to enhance training datasets and support model development in a dynamic, distributed

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