Remote AI Data Engineer - Scale Data Pipelines & Impact

Speechify; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Autonomy and asynchronous work culture

Fully distributed

Job summary

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation products. You will design, implement, and operate large-scale data processing systems to improve data quality, throughput, and cost.

Ideal candidates have 5+ years of backend software experience, proficiency in Python and Linux, and proven ability to work independently in ambiguous environments.

Qualifications

• A 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 development of next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python

Bash

Linux

Data pipelines

Backend development

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

Web crawlers

Job description

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation products. You will design, implement, and operate large-scale data processing systems to improve data quality, throughput, and cost.

Ideal candidates have 5+ years of backend software experience, proficiency in Python and Linux, and proven ability to work independently in ambiguous environments.