Senior AI Data Pipelines Engineer (Remote)

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

Benefits offered by this job

Competitive compensation

Asynchronous culture

Autonomy

Impactful work

Welcoming atmosphere

Job summary

Speechify is hiring a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-gen AI products. We create petabyte-scale data, combining engineering, infrastructure, and research to improve data quality, throughput, and cost.

You will partner with AI Scientists, own projects end-to-end, and contribute to data pipelines and production systems in a fully distributed environment.

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

Independent work

Problem-solving

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform

GCP

Job description

Speechify is hiring a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-gen AI products. We create petabyte-scale data, combining engineering, infrastructure, and research to improve data quality, throughput, and cost.

You will partner with AI Scientists, own projects end-to-end, and contribute to data pipelines and production systems in a fully distributed environment.