Remote AI Data Pipelines Engineer

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

Vantaggi offerti da questo lavoro

Autonomy

Asynchronous work culture

Competitive compensation

Impactful work

Descrizione del lavoro

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and next-generation AI products.

We assemble large-scale datasets by combining engineering, infrastructure, and research to enable scalable AI development. You will collaborate with AI Scientists to improve training data, own projects from discovery to delivery, and help create systems that make AI training more efficient and cost-effective.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

Bash

Backend development

Data pipelines

Problem-solving

Formazione

Computer Science degree or related field

Strumenti

Linux

GCP

Terraform

Descrizione del lavoro

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and next-generation AI products.

We assemble large-scale datasets by combining engineering, infrastructure, and research to enable scalable AI development. You will collaborate with AI Scientists to improve training data, own projects from discovery to delivery, and help create systems that make AI training more efficient and cost-effective.