Senior Software Engineer — AI Data Pipelines

Speechify; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Speechify is hiring a Software Engineer - AI Data to build data pipelines powering model training and AI products across distributed teams. You will craft reliable ingestion sources and scalable processing systems for petabyte-scale datasets.

The role emphasizes collaboration with AI scientists and ownership from problem discovery through deployment. A strong backend foundation and Python proficiency are essential in a fully remote 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

Backend development

Bash

Linux

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

CI/CD pipelines

Job description

Speechify is hiring a Software Engineer - AI Data to build data pipelines powering model training and AI products across distributed teams. You will craft reliable ingestion sources and scalable processing systems for petabyte-scale datasets.

The role emphasizes collaboration with AI scientists and ownership from problem discovery through deployment. A strong backend foundation and Python proficiency are essential in a fully remote environment.