Remote AI Data Engineer for Large-Scale Training Pipelines

Speechify; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dynamic environment

Innovation culture

Autonomy

Significant impact

Competitive compensation

Job summary

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 will develop data pipelines, improve data-quality, and work with AI scientists on scalable systems.

The role emphasizes ownership of projects from discovery to implementation, with a focus on production-scale data processing and cost optimization in a distributed environment.

Qualifications

• Degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience.
• Proficiency in Python and Bash in Linux environments.
• Experience building production data pipelines or large-scale data processing.
• Strong problem-solving skills and ability to work independently.

Responsibilities

• Discover new sources of audio data and build reliable pipelines to bring them into our 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

Backend development

Data pipelines

Education

Bachelor's in Computer Science

Tools

Linux

Terraform

GCP

Job description

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 will develop data pipelines, improve data-quality, and work with AI scientists on scalable systems.

The role emphasizes ownership of projects from discovery to implementation, with a focus on production-scale data processing and cost optimization in a distributed environment.