AI Data Engineer – Build Scalable ML Data Pipelines

Speechify; United States; Remote; USD 30,000 - 90,000; Full time

Benefits offered by this job

Stock options

Bonus

Asynchronous work culture

Impactful work

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build the data pipelines powering model training and next-generation AI products.

The role focuses on discovering new data sources, building scalable data-processing systems, and collaborating with AI Scientists to improve training datasets. Strong backend expertise and Python/Bash proficiency are essential for production-grade data pipelines.

Qualifications

• Degree in Computer Science or related field or equivalent practical experience.
• 5+ years of professional software engineering experience with strong backend development fundamentals.
• 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 skills and ability to work independently 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-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Backend development

Python

Bash

Linux environments

Data pipelines

Production systems

Education

Bachelor's degree in Computer Science

Tools

Terraform

GCP

Job description

Speechify is seeking a Software Engineer - AI Data to join its AI team and build the data pipelines powering model training and next-generation AI products.

The role focuses on discovering new data sources, building scalable data-processing systems, and collaborating with AI Scientists to improve training datasets. Strong backend expertise and Python/Bash proficiency are essential for production-grade data pipelines.