AI Data Engineer — Scalable Training Pipelines & Datasets

Speechify Inc.; Oregon; Hybride; USD 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Equity

Asynchronous work culture

Remote-first team

Résumé du poste

Speechify Inc. 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 and operate large-scale data processing systems, collaborating with AI scientists to improve training datasets, data quality, and throughput while taking ownership from discovery to implementation and continuous improvement.

Qualifications

• 5+ years of professional software engineering experience with backend focus.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production data pipelines or large-scale data processing.
• Ability to work independently in ambiguous environments.

Responsabilités

• 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.

Connaissances

Python

Bash

Backend development

Data pipelines

Independent work

Formation

Bachelors in Computer Science or related field

Outils

Linux

Terraform

GCP

Cloud infrastructure

Description du poste

Speechify Inc. 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 and operate large-scale data processing systems, collaborating with AI scientists to improve training datasets, data quality, and throughput while taking ownership from discovery to implementation and continuous improvement.