Senior AI Data Engineer — Remote ML Pipelines

Speechify; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Autonomy

Asynchronous work culture

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 create high-quality datasets at petabyte scale, combining engineering, infrastructure, and research in a distributed environment.

You will collaborate with AI scientists, own projects end-to-end, and improve data-processing systems for quality, throughput, and cost.

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 systems, ideally involving data pipelines or large-scale data processing.
• Strong problem-solving skills, initiative, and the 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

Data pipelines

Backend development

Problem solving

Bash

Education

Degree in Computer Science or related field

Tools

Linux environments

GCP

Terraform

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 create high-quality datasets at petabyte scale, combining engineering, infrastructure, and research in a distributed environment.

You will collaborate with AI scientists, own projects end-to-end, and improve data-processing systems for quality, throughput, and cost.