Senior AI Data Engineer: Scalable Model Training Pipelines

Speechify

United States

Teletrabalho

USD 120 000 - 180 000

Tempo integral

Há 2 dias
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Vantagens oferecidas por esta oferta de emprego

Autonomy
Competitive compensation
Asynchronous work
Distributed/remote team

Resumo da oferta

Speechify, a distributed, fully remote company, is seeking a Software Engineer - AI Data to build data pipelines powering model training and AI products. You will develop high-quality datasets at scale, collaborating with AI Scientists to improve training data and support next-generation models.

The ideal candidate has 5+ years of software engineering experience, strong Python and Bash skills, and a track record with production systems and data pipelines.

Qualificações

  • Degree in Computer Science or a related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience.
  • 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 the ability to work independently in ambiguous environments.

Responsabilidades

  • Discover new sources of audio data and build pipelines to ingest them into training datasets.
  • Build and improve large-scale data-processing systems for quality, throughput, and cost.
  • Collaborate with AI Scientists to improve training datasets and support next-generation models.
  • Take ownership of projects from discovery through implementation and ongoing improvement.

Conhecimentos

Python
Backend development
Data pipelines
Linux environments
Problem solving

Formação académica

Degree in Computer Science or related field

Ferramentas

Linux
Terraform
GCP

Descrição da oferta de emprego

Speechify, a distributed, fully remote company, is seeking a Software Engineer - AI Data to build data pipelines powering model training and AI products. You will develop high-quality datasets at scale, collaborating with AI Scientists to improve training data and support next-generation models.

The ideal candidate has 5+ years of software engineering experience, strong Python and Bash skills, and a track record with production systems and data pipelines.

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