AI Data Engineer - Build Scalable ML Datasets (Remote)

Speechify; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Dynamic work environment

Autonomy and creativity

Impact on revolutionary AI

Competitive compensation

Job summary

Speechify's AI Data team is seeking a Software Engineer to build the data pipelines powering model training and next-generation AI products. We create high-quality datasets at petabyte scale by combining engineering, infrastructure, and research.

You’ll discover new audio data sources, build scalable pipelines, and collaborate with AI scientists to improve training datasets and models. This role offers autonomy and a chance to impact a rapidly evolving industry.

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

Data pipelines

Problem solving

Education

CS degree or related field

Job description

Speechify's AI Data team is seeking a Software Engineer to build the data pipelines powering model training and next-generation AI products. We create high-quality datasets at petabyte scale by combining engineering, infrastructure, and research.

You’ll discover new audio data sources, build scalable pipelines, and collaborate with AI scientists to improve training datasets and models. This role offers autonomy and a chance to impact a rapidly evolving industry.