AI Data Engineer - Scalable ML Data Pipelines

Speechify

United States

Remote

USD 140,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

Autonomy
Competitive pay
Asynchronous work

Job summary

Speechify seeks a Software Engineer - AI Data to build data pipelines powering model training and next-gen AI products. You will develop scalable data processing systems and collaborate with AI scientists to improve datasets.

Ideal candidates have 5+ years in software engineering, strong Python and Bash skills, and experience with production systems and data pipelines in Linux environments. This is a fully remote, distributed role with competitive compensation.

Qualifications

  • Degree in Computer Science or 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 involving data pipelines or large-scale data processing.
  • Strong problem-solving and independent work in ambiguous environments.

Responsibilities

  • Discover new sources of audio data and build reliable pipelines to bring them into training datasets.
  • Build and improve large-scale data-processing systems, optimizing for data quality, throughput and cost.
  • Collaborate with AI Scientists to improve training datasets and support development of next-gen models.
  • Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python
Bash
Linux
Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
GCP

Job description

Speechify seeks a Software Engineer - AI Data to build data pipelines powering model training and next-gen AI products. You will develop scalable data processing systems and collaborate with AI scientists to improve datasets.

Ideal candidates have 5+ years in software engineering, strong Python and Bash skills, and experience with production systems and data pipelines in Linux environments. This is a fully remote, distributed role with competitive compensation.

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