AI Data Engineer — Scalable Training Data Pipelines

Speechify Inc.; Oregon; Ibrido; USD 140.000 - 200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Equity

Asynchronous work culture

Descrizione del lavoro

Speechify Inc. is seeking a Software Engineer - AI Data to join Speechify's distributed AI team and build the data pipelines that power model training and next-generation AI products.

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We seek a strong software engineer who enjoys solving complex problems, exploring new data sources, and building scalable systems.

Competenze

• A degree in Computer Science or related field or equivalent practical experience.
• 5+ years of professional software engineering experience with strong backend fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production data pipelines or large-scale data processing.
• Strong problem-solving skills and ability to work independently in ambiguous environments.

Mansioni

• Discover new audio data sources and build pipelines for training datasets.
• Develop and optimize large-scale data-processing systems for quality, throughput, and cost.
• Collaborate with AI scientists to improve training datasets and model training.
• Lead engineering projects from problem discovery through implementation and continuous improvement.

Conoscenze

Python

Bash

Backend development

Data pipelines

Problem solving

Independent work

Formazione

Bachelor's degree in Computer Science or related field

Descrizione del lavoro

Speechify Inc. is seeking a Software Engineer - AI Data to join Speechify's distributed AI team and build the data pipelines that power model training and next-generation AI products.

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We seek a strong software engineer who enjoys solving complex problems, exploring new data sources, and building scalable systems.