AI Data Engineer — Build Scalable ML Training Pipelines

Speechify; United States; Teletrabalho; USD 140 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Asynchronous work environment

Remote-friendly culture

Resumo da oferta

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. You will help create high-quality datasets at scale by integrating engineering, infrastructure, and research.

Ideal candidates bring a CS degree or equivalent, 5+ years of backend software experience, and proficiency in Python and Bash. You will own data-pipeline projects from discovery to implementation, working in a fast-paced,

Qualificações

• Degree in Computer Science or related field or equivalent practical experience.
• 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.
• Strong problem-solving and ability to work independently in ambiguous environments.

Responsabilidades

• 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.

Conhecimentos

Backend development

Python

Bash

Linux

Problem solving

Formação académica

B.S. in Computer Science or related field

Ferramentas

GCP

Terraform

Data pipelines

Descrição da oferta de emprego

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. You will help create high-quality datasets at scale by integrating engineering, infrastructure, and research.

Ideal candidates bring a CS degree or equivalent, 5+ years of backend software experience, and proficiency in Python and Bash. You will own data-pipeline projects from discovery to implementation, working in a fast-paced,