Senior Software Engineer, AI Data Pipelines

Speechify; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Autonomy

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets with efficiency and cost awareness.

You’ll work with frontend, backend, and research teams to discover data sources, improve data quality, and support scalable AI model development in a fully remote environment.

Qualifications

• Bachelor's 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

Backend development

Python

Bash

Linux

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets with efficiency and cost awareness.

You’ll work with frontend, backend, and research teams to discover data sources, improve data quality, and support scalable AI model development in a fully remote environment.