Remote AI Data Engineer — Build Scalable ML Datasets

Speechify Inc.

Oregon

Hybrid

USD 140,000 - 200,000

Full time

6 days ago
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Benefits offered by this job

Competitive compensation
Asynchronous work culture
Autonomy in work

Job summary

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

You will build high-quality datasets at scale by integrating engineering, infrastructure, and research efforts and work on systems that scale data processing for AI training. The ideal candidate has 5+ years of software engineering experience with strong backend fundamentals, proficiency in Python and Bash on Linux, and a passion for

Qualifications

  • 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, especially data pipelines or large-scale data processing.

Responsibilities

  • Discover new sources of audio data and build reliable pipelines for training datasets.
  • Build and improve large-scale data-processing systems optimizing data quality and cost.
  • Collaborate with AI Scientists to improve training datasets and model development.
  • Take ownership of engineering projects from problem discovery through implementation and improvement.

Skills

Python
Bash
Backend development
Data pipelines
Data processing
Problem solving

Education

CS degree or equivalent

Tools

Linux
GCP
Terraform

Job description

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

You will build high-quality datasets at scale by integrating engineering, infrastructure, and research efforts and work on systems that scale data processing for AI training. The ideal candidate has 5+ years of software engineering experience with strong backend fundamentals, proficiency in Python and Bash on Linux, and a passion for

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