Software Engineer, AI Data Pipelines (Remote)

Speechify Inc.; Oregon; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Autonomy

Impact on education

No office — distributed team

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join the AI team and build data pipelines powering model training and next-gen AI products. You will develop high-quality datasets at scale and collaborate with AI scientists to improve training data and models.

The role emphasizes solving complex data problems, exploring new sources, owning projects end-to-end, and contributing to a product that helps people learn more effectively through audio.

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

Bash

Backend development

Data pipelines

Production systems

Education

Bachelor's degree in Computer Science

Tools

GCP

Terraform

Linux

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join the AI team and build data pipelines powering model training and next-gen AI products. You will develop high-quality datasets at scale and collaborate with AI scientists to improve training data and models.

The role emphasizes solving complex data problems, exploring new sources, owning projects end-to-end, and contributing to a product that helps people learn more effectively through audio.