Senior AI Data Pipeline Engineer

Speechify Inc.

Oregon

Hybrid

USD 140,000 - 200,000

Full time

6 days ago
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Benefits offered by this job

Dynamic environment
Innovative team culture
Autonomy
AI/Audio impact
Competitive pay
Asynchronous culture
Impact for learning differences

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. We create high-quality datasets at scale, combining engineering, infrastructure, and research to drive efficiency and growth.

You will explore new data sources, develop reliable pipelines, and collaborate with AI scientists to advance training datasets while owning projects end-to-end in a fast-paced, async-friendly environment.

Qualifications

  • Discover new audio data sources and build pipelines into training datasets.
  • Build and optimize large-scale data-processing systems.
  • Collaborate with AI Scientists to improve training datasets and support next-generation models.
  • Take ownership of engineering projects from discovery through implementation.

Responsibilities

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

Skills

Python
Bash
Linux
Data pipelines
Production systems
Backend development
Problem solving
Independent work

Education

CS degree or equivalent

Tools

GCP
Terraform

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. We create high-quality datasets at scale, combining engineering, infrastructure, and research to drive efficiency and growth.

You will explore new data sources, develop reliable pipelines, and collaborate with AI scientists to advance training datasets while owning projects end-to-end in a fast-paced, async-friendly environment.

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