AI Data Engineer for Large-Scale ML Pipelines

Speechify Inc.; Oregon; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Autonomy

Asynchronous work culture

Impactful AI/audio products

Job summary

Speechify is seeking a Software Engineer - AI Data to bolster its distributed AI team and build data pipelines powering model training and next-generation AI products. You will create high-quality datasets at petabyte scale, merging engineering, infrastructure, and research to improve efficiency and scalability.

You will explore new data sources, collaborate with AI scientists, and own projects from discovery to deployment in a fully remote company that values autonomy and impact.

Qualifications

• 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 fundamentals

Data pipelines

Independent work

Problem solving

Education

Degree in Computer Science or related field

Tools

Python

Bash

Linux

Production systems

Job description

Speechify is seeking a Software Engineer - AI Data to bolster its distributed AI team and build data pipelines powering model training and next-generation AI products. You will create high-quality datasets at petabyte scale, merging engineering, infrastructure, and research to improve efficiency and scalability.

You will explore new data sources, collaborate with AI scientists, and own projects from discovery to deployment in a fully remote company that values autonomy and impact.