AI Data Engineer for Scalable ML Pipelines

Speechify; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Autonomy

Innovation culture

Competitive pay

Global team

Asynchronous work

Job summary

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

You will work with AI Scientists to improve training data, optimize pipelines, and own projects from discovery to implementation in a distributed, remote-friendly environment.

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, 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

Backend development

Data pipelines

Large-scale data processing

Linux

Education

Degree in Computer Science or related field

Tools

Bash

Linux

Terraform

GCP

Job description

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

You will work with AI Scientists to improve training data, optimize pipelines, and own projects from discovery to implementation in a distributed, remote-friendly environment.