Software Engineer – AI Data Pipelines

Speechify; United States; Remote; USD 125,000 - 190,000; Full time

Benefits offered by this job

Asynchronous work

Competitive compensation

Autonomy

Impactful work

Welcoming atmosphere

Job summary

Speechify, a fully distributed company, is seeking a Software Engineer - AI Data to help build the data pipelines powering our model training and next‑generation AI products.

You will discover new audio data sources, design scalable piping systems, and collaborate with AI scientists to improve training datasets. Ideal candidates have 5+ years of backend software experience, strong Python and Bash skills in Linux, and a track record of production systems work.

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

Backend development

Python

Bash

Linux

Data pipelines

Production systems

Problem solving

Independent work

Education

Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify, a fully distributed company, is seeking a Software Engineer - AI Data to help build the data pipelines powering our model training and next‑generation AI products.

You will discover new audio data sources, design scalable piping systems, and collaborate with AI scientists to improve training datasets. Ideal candidates have 5+ years of backend software experience, strong Python and Bash skills in Linux, and a track record of production systems work.