Software Engineer, AI Data - Remote Data Pipelines

Speechify; United States; Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Asynchronous work

Impactful work

Autonomy

Job summary

Speechify, a fully distributed company, seeks a Software Engineer - AI Data to build data pipelines powering model training. You will work on petabyte-scale datasets, crafting efficient data-processing systems and collaborating with AI scientists to advance next-generation models.

You’ll join a team that values autonomy, innovation, and scalable infra, with a focus on reliable data quality and cost-effective data pipelines in a remote-forward environment.

Qualifications

• 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.

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

5+ years software engineering

Python

Bash

Backend development

Work independently

Education

Bachelor's in CS or related, or equivalent

Tools

GCP

Terraform

Job description

Speechify, a fully distributed company, seeks a Software Engineer - AI Data to build data pipelines powering model training. You will work on petabyte-scale datasets, crafting efficient data-processing systems and collaborating with AI scientists to advance next-generation models.

You’ll join a team that values autonomy, innovation, and scalable infra, with a focus on reliable data quality and cost-effective data pipelines in a remote-forward environment.