Software Engineer, AI Data - Remote Pipelines

Speechify; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Dynamic environment

Innovative culture

Autonomy

Impact in industry

Competitive compensation

Job summary

Speechify is hiring a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. You’ll work on large-scale data processing, data quality, and cost optimization while collaborating with AI scientists to improve training datasets.

The role requires strong backend skills, experience with Python, Bash, and Linux, and a track record of delivering production systems.

Qualifications

• A degree in Computer Science or a 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 data pipelines or large-scale data processing systems.
• 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 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

Linux

Data pipelines

Backend development

Cloud basics

Education

BS in Computer Science or related field

Tools

GCP

Terraform

Docker

Job description

Speechify is hiring a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. You’ll work on large-scale data processing, data quality, and cost optimization while collaborating with AI scientists to improve training datasets.

The role requires strong backend skills, experience with Python, Bash, and Linux, and a track record of delivering production systems.